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Local cultures under the nation-states have evolved and produced new concepts. Migrations and cultural interactions have also influenced the language. Thus, different conceptualisations of migration have developed in the “Malay World.” Language is not only a product of ecological and geographical environment, but it is also a result of human mobilisations and cultural intercourses. The differences caused by various Malay World conceptualisations are also related to different interactions, histories and social realities. In the “Malay World,” Bahasa Malaysia and Bahasa Indonesia are threatened by English hegemony. At this juncture, demonstrating these interrelationships helps one to understand local cultural intercourses between culture and social reality.

This paper implements the critical discourse analysis, notably, the dialectical–relational approach to different conceptualisations in the “Malay World.” Thus, it aims to discuss the reasons behind the usage of migration-related terms in Indonesia and Malaysia. How migration terms mainly shape social forms, process and circulate in the social world is argued in this paper. The authors target to investigate the local meaning sets for migration concepts and explore self-reflectivity in and critique of the usage of established images between Bahasa Indonesia and Malay concepts, using a Critical Discourse Analysis framework. The discussion section attempts to analyse and explain dialectical relations between social norms and social elements.

Trade diasporas, culture and identities of immigrants, cultural richness and multi-ethnicity have continuously diversified the conceptualisations. These concepts also indicate cultural dominations and exclusions. Thus, the migration dynamics in Southeast Asia might be understood by scrutinising these boundaries and patterns. This study showed that migration conceptualisations in the Malay world are substantially locally determined. Local wisdom and cultural codifications prevail in the migration context. A deeper understanding of the local context is essential in evaluating the international refugee protection mechanisms in these countries as neither Indonesia nor Malaysia are parties to the Geneva Convention Relating to the Status of Refugees.

Definitions of various types of migration are referred to in multiple terminologies throughout the Nusantara. While in Bahasa Melayu, migrant refers to pendatang, nomadic refers to nomad; refugee refers to pelarian, to migrate refers to berhijrah; in Bahasa Indonesia, migrant refers to migran, nomadic or nomad refers pengembara, refugee refers to pengungsi and migrate, or migration refers migrasi. At the same time, in the Nusantara, many communities define themselves according to their geographical features, such as Orang Sungai, Orang Laut or Orang Kuala. In this context, defining leads to a significant impact on shaping the discourses and approaches.

Definitions determine the borders, flexibilities, plausibility and flows of terms. Critical Discourse Analysis especially placed emphasis on languages and their impacts on social reality. According to Critical Discourse Analysis, terms and their genealogies, transformations and limits are vital in order to comprehend social facts and truth. To understand the change and continuity of migration flow in Southeast Asia, scrutinising the migration-related terms is crucial. This study aims to examine those main terms, their connection with other words, and their transformation in the Malay world sociologically. This as such will shed more light on the social changes regarding genealogical relationships and their usage in daily life within the Critical Discourse Analysis.

This study aims to fulfil the gap between authentic concepts of migration literature in Nusantara. Although Bahasa Melayu and Bahasa Indonesia have a strong connection and interaction, migration definitions in these languages are separated from each other. Cultural and social elements greatly influence migration-connected terms in Bahasa Melayu and Bahasa Indonesia. Without this understanding and the absence of local context, any assessment of their refugee protection systems may be incomplete. This study deals with different cultural nuances and refinements and their migration conceptualisations and histories are based on the ground of their social realities.

Based on a lexical analysis of publications on 529 Facebook pages, published between 2013 and 2017, this research explores how Brazilian left-wing activist groups participate on Facebook to coordinate their opposition and engage in social struggles. This chapter shows how activist groups set up two main digital network repertoires of action when mobilizing on Facebook. First, in direct connection with major political events, the platform is used as a media arena to challenge governments’ political actions and second, it is employed as a tool to coordinate mobilization, whether these mobilizations are demonstrations on the street or at cultural events, such as at a music concert. These repertoires of action exemplify ways in which contemporary Brazilian activism is carried out at the intersection of online and offline engagements. While participants engage through these two repertoires, this network of activists is held together over time through a more mundane type of event, pertaining to the repertoire of action allowing the organization of mobilization. Stepping aside from opposition and struggles brought to the streets, the organization of cultural activities, such as concerts and exhibitions, punctuates the everyday exchanges in activists’ communications. Talk about cultural events and their related social agendas structures activist networks on a medium-term basis and creates the conditions for the coordination of (future) social movements, in that they offer the opportunities to stay in contact, in addition to taking part in occasional gatherings, between more highly visible social protests.

The purpose of this study is to explore linguistic stylometric patterns encompassing lexical, syntactic, structural, sentiment and politeness features that are found in librarians’ responses to user queries.

A total of 462 online texts/transcripts comprising answers of librarians to users’ questions drawn from the Internet Public Library were examined. A Principal Component Analysis, which is a data reduction technique, was conducted on the texts and transcripts. Data analysis illustrates the three principal components that predominantly occur in librarians’ answers: stylometric richness, stylometric brevity and interpersonal support.

The results of the study have important implications in digital information services because stylometric features such as lexical richness, structural clarity and interpersonal support may interplay with the degree of complexity of user queries, the (a)synchronous communication mode, application of information service guideline and manuals and overall characteristics and quality of a given digital information service. Such interplay may bring forth a direct impact on user perceptions and satisfaction regarding interaction with librarians and the information service received through the computer-mediated communication channel.

To the best of the authors’ knowledge, the stylometric features encompassing lexical, syntactic, structural, sentiment and politeness using Principal Component Analysis have not been explored in digital information/reference services. Thus, there is an emergent need to explore more fully how linguistic stylometric features interplay with the types of user queries, the asynchronous online communication mode, application of information service guidelines and the quality of a particular digital information service.

This paper aims to elaborate on current research on fourth party logistics “4PL” by offering a taxonomy that provides a deeper understanding of 4PL service offerings, thus drawing clear frontiers between existing 4PL business models.

The authors collected data using semi-structured interviews conducted with 60 logistics executives working in 44 “4PL” providers located in France. Using automatic analysis of textual data, the authors combined spatial visualisation, clustering analysis and hierarchical descending classification to generate the taxonomy.

Two key dimensions emerged, allowing the authors to clearly identify and distinguish four 4PL business models: the level of reliance on interpersonal relationships and the level of involvement in 4PL service offering. As a result, 4PL providers fall under one of the following business models in the taxonomy: (1) The Metronome, (2) The Architect, (3) The Nostalgic and (4) The Minimalist.

The study focuses on investigating 4PL providers located in France; thus, future studies should explore the classification of 4PL business models across different cultural contexts and social structures.

The findings offer valuable managerial insights for logistics executives and clients of 4PL to better orient their needs, the negotiations and the contracting process with 4PLs.

Using a Lexicometric analysis, the authors develop taxonomy of 4PL service providers based on empirical evidence from logistics executives; the work addresses the existing confusion regarding the conceptualisation of 4PL firms with other types of logistical providers and the role of in/formal interpersonal relationships in the logistical intermediation.

The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading experiences.

The authors propose a corpus-based study focused on the analysis of A Good Review, a novel corpus of online book reviews written in Italian, posted on Amazon and Goodreads, and covering six literary fiction genres. The authors rely on stylometric analysis to explore the linguistic properties and lexicon of reviews and the authors conducted automatic classification experiments using multiple approaches and feature configurations to predict either the review's platform or the literary genre.

The analysis of user-generated reviews demonstrates that language is a quite variable dimension across reading platforms, but not as much across book genres. The classification experiments revealed that features modelling the syntactic structure of the sentence are reliable proxies for discerning Amazon and Goodreads reviews, whereas lexical information showed a higher predictive role for automatically discriminating the genre.

The high availability of cultural products makes information services necessary to help users navigate these resources and acquire information from unstructured data. This study contributes to a better understanding of the linguistic characteristics of user-generated book reviews, which can support the development of linguistically-informed recommendation services. Additionally, the authors release a novel corpus of online book reviews meant to support the reproducibility and advancements of the research.

The purpose of this paper is to evaluate the impact of leadership development programmes, underpinned by Transformational Learning Theory (TLT).

A corpus-informed analysis was conducted using survey data from 690 participants. Data were collected from participants’ responses to the question “please tell us about the impact of your overall experience”, which culminated in a combined corpus of 75,053 words.

Findings identified patterns of language clustered around the following frequently used word types, namely, confidence; influence; self-awareness; insight; and impact.

This in-depth qualitative evaluation of participants’ feedback has provided insight into how TLT can be applied to develop future health-care leaders. The extent to which learning has had a transformational impact at the individual level, in relation to their perceived ability to influence, holds promise for the wider impact of this group in relation to policy, practice and the promotion of clinical excellence in the future. However, the latter can only be ascertained by undertaking further realist evaluation and longitudinal study to understand the mechanisms by which transformational learning occurs and is successfully translated to influence in practice.

Previous research has expounded traditional leadership theories to guide the practice of health-care leadership development. The paper goes some way to demonstrate the impact of using the principles of TLT within health-care leadership development programmes. The approach taken by The Florence Nightingale Foundation has the potential to generate confident leaders who may be instrumental in creating positive changes across various clinical environments.

The purpose of this study is, from the perspective of artisan entrepreneurship (AE), to understand how professional and higher education institutions, local authorities, local and cross-border cultural entities and tourism stakeholders perceive AE by collaborating in a network to develop innovative and sustainable strategies, using the Quintuple Helix innovation model.

Using a qualitative approach, 34 semi-structured interviews were carried out with organisations by emailing them a Google Form. The organisations interviewed were from the north-east of Portugal (Bragança, Miranda do Douro, Mogadouro, Vimioso and Vinhais) and the north of Spain (Zamora Province). The data collected was subjected to content and lexical analysis using the computerised lexical analysis software IRaMuTeQ.

AE is seen as the representation of a culture where traditional crafts are the identity of a region. The practical and political implications for decision makers in the Quintuple Helix can be seen in the definition of strategies and proposals that should leverage and define regional and cross-border policies, leveraging the need for networking to define concrete measures and programmes for support and training in entrepreneurship and AE, as well as the creation and/or standardisation of existing support networks.

To the best of the authors’ knowledge, this work is the first study to address and deal with the issue of AE by understanding how professional and higher education institutions, local authorities, local and cross-border cultural entities perceive AE and collaborate in a network to develop innovative and sustainable strategies, through the paradigm of the Quintuple Helix model. It also combines a content analysis and a lexical analysis using computerised lexical analysis software – IRaMuTeQ.

The purpose of this study is to develop a domain independent, cost-effective, time-saving and semi-automated ontology generation framework that could extract taxonomic concepts from unstructured text corpus. In the human disease domain, ontologies are found to be extremely useful for managing the diversity of technical expressions in favour of information retrieval objectives. The boundaries of these domains are expanding so fast that it is essential to continuously develop new ontologies or upgrade available ones.

This paper proposes a semi-automated approach that extracts entities/relations via text mining of scientific publications. Text mining-based ontology (TmbOnt)-named code is generated to assist a user in capturing, processing and establishing ontology elements. This code takes a pile of unstructured text files as input and projects them into high-valued entities or relations as output. As a semi-automated approach, a user supervises the process, filters meaningful predecessor/successor phrases and finalizes the demanded ontology-taxonomy. To verify the practical capabilities of the scheme, a case study was performed to drive glaucoma ontology-taxonomy. For this purpose, text files containing 10,000 records were collected from PubMed.

The proposed approach processed over 3.8 million tokenized terms of those records and yielded the resultant glaucoma ontology-taxonomy. Compared with two famous disease ontologies, TmbOnt-driven taxonomy demonstrated a 60%–100% coverage ratio against famous medical thesauruses and ontology taxonomies, such as Human Disease Ontology, Medical Subject Headings and National Cancer Institute Thesaurus, with an average of 70% additional terms recommended for ontology development.

According to the literature, the proposed scheme demonstrated novel capability in expanding the ontology-taxonomy structure with a semi-automated text mining approach, aiming for future fully-automated approaches.

In order to estimate the value of semi-automated subject indexing in operative library catalogues, the study aimed to investigate five different automated implementations of an open source software package on a large set of Swedish union catalogue metadata records, with Dewey Decimal Classification (DDC) as the target classification system. It also aimed to contribute to the body of research on aboutness and related challenges in automated subject indexing and evaluation.

On a sample of over 230,000 records with close to 12,000 distinct DDC classes, an open source tool Annif, developed by the National Library of Finland, was applied in the following implementations: lexical algorithm, support vector classifier, fastText, Omikuji Bonsai and an ensemble approach combing the former four. A qualitative study involving two senior catalogue librarians and three students of library and information studies was also conducted to investigate the value and inter-rater agreement of automatically assigned classes, on a sample of 60 records.

The best results were achieved using the ensemble approach that achieved 66.82% accuracy on the three-digit DDC classification task. The qualitative study confirmed earlier studies reporting low inter-rater agreement but also pointed to the potential value of automatically assigned classes as additional access points in information retrieval.

The paper presents an extensive study of automated classification in an operative library catalogue, accompanied by a qualitative study of automated classes. It demonstrates the value of applying semi-automated indexing in operative information retrieval systems.