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1 – 10 of 185Ahmet Kuru, in his book, suggests that the explanation for the lack of social and political development in the modern world can be traced back to a historical ‘state-ulama…
Abstract
Ahmet Kuru, in his book, suggests that the explanation for the lack of social and political development in the modern world can be traced back to a historical ‘state-ulama alliance’ from the 11th-century Saljuq empire or earlier. From the perspective of an historian, however, this dating displays some empirical problems. It is certain that the state eventually did gain the upper hand over the Muslim intellectuals, at least in the centre of the Ottoman empire. But the process to that point was different. In this comment, a different explanation is proposed that points instead to two crucial factors: the loss of a homogeneous Muslim state with the fall of the caliphate, and the rise of a unified Muslim world, an umma, through the independence, not subservience, of the class of scholars in the mediaeval period of Islam. Thus, a model is proposed that focuses on two turning points: the replacement of the effective caliphate with a fractious system of sultanates in the mid-tenth century, coinciding with the solidification of Islamic thought in a more strictly regulated form both in theology, law and in Sufism. The second moment is ca. 1500, when the period of political fragmentation comes to an end with the Ottoman state unifying the Middle East, flanked by Morocco and Iran, while challenges to the religious orthodoxy begin to grow at the margins. Such a model thus sees the ulama as actors for change as well as for orthodoxy throughout Muslim history, responding to changing developments in social and political contexts.
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Adela Sobotkova, Ross Deans Kristensen-McLachlan, Orla Mallon and Shawn Adrian Ross
This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite…
Abstract
Purpose
This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.
Design/methodology/approach
Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.
Findings
Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.
Research limitations/implications
Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.
Practical implications
Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.
Social implications
Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.
Originality/value
Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.
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The purpose of this conceptual article is to examine the role of villainification and heroification in social studies through critically analyzing the author’s place-based…
Abstract
Purpose
The purpose of this conceptual article is to examine the role of villainification and heroification in social studies through critically analyzing the author’s place-based encounters with three civil war narratives.
Design/methodology/approach
The article describes the author’s critical reflections on three narratives involving confederate figures and examines theoretical and pedagogical implications.
Findings
The article introduces a spectrum of ethical judgments which plots villainification and heroification on opposing ends. The author advocates for more nuanced ethical judgments that contextualize decisions as understandable or defensible based on evidence. The term understandable reflects a concept of being able to explain (i.e. demonstrate understanding) why a curricular figure made certain choices without agreeing with or supporting those choices. The term defensible denotes the existence of evidence that provides a rationale for a choice such that the person making the ethical judgment would feel comfortable making (i.e. defending) the same choice.
Originality/value
The article introduces a theory of nuanced ethical judgments in social studies that maps onto existing literature on heroification, villainification and place-based education. Pedagogical implications for social studies education are also identified.
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This paper presents an historical reconstruction of the radicalisation of Alan Fox, the industrial sociologist and a detailed analysis of his early historical and sociological…
Abstract
Purpose
This paper presents an historical reconstruction of the radicalisation of Alan Fox, the industrial sociologist and a detailed analysis of his early historical and sociological writing in the classical pluralist phase.
Design/methodology/approach
An intellectual history, including detailed discussion of key Fox texts, supported by interviews with Fox and other Biographical sources.
Findings
Fox’s radicalisation was incomplete, as he carried over from his industrial relations (IR) pluralist mentors, Allan Flanders and Hugh Clegg, a suspicion of political Marxism, a sense of historical contingency and an awareness of the fragmented nature of industrial conflict.
Originality/value
Recent academic attention has centred on Fox’s later radical pluralism with its “structural” approach to the employment relationship. This paper revisits his early, neglected classical pluralist writing. It also illuminates his transition from institutional IR to a broader sociology of work, influenced by AH Halsey, John Goldthorpe and others and the complex nature of his radicalisation.
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Lars Mjøset, Roel Meijer, Nils Butenschøn and Kristian Berg Harpviken
This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial…
Abstract
This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.
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Celebrate Michael Buckland's impressive legacy to LIS by showing his humanity, generosity and versatility.
Abstract
Purpose
Celebrate Michael Buckland's impressive legacy to LIS by showing his humanity, generosity and versatility.
Design/methodology/approach
This article is walk through a scientific career in LIS. Through personal anecdotes and life history and building upon Michael Buckland's legacy, it summarises the author’s own work seen through the prism of her interactions with Buckland, leading to scholarly contributions articulating significant statements about the field of LIS as well as pointers to past relevant publications.
Findings
Michael Buckland has a unique way of putting an end to thorny LIS issues as well as being a documentator extraordinaire.
Originality/value
It is a personal account, as such cannot be evaluated through the classical norms of empirical research as there is no ground truth. This account shows how chance encounters with fellow scholars can have a lasting influence on one's academic career as well as wider impact in a field.
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This chapter traces the origin of racism and reviews the historical and contemporary debates around race and racialisation in western thought. There are persistent disagreements…
Abstract
This chapter traces the origin of racism and reviews the historical and contemporary debates around race and racialisation in western thought. There are persistent disagreements surrounding the origin and nature of racism. Because of the evolution of racist ideas, behaviours and institutional practices and policies, there are various views about the meaning and analytical application of racism. This chapter explores how ideas of race – understood as innate and immutable human differences that can be classified and ranked hierarchically based on race – has emerged in western history and evolved over time. It examines how this has influenced social and political practices and associated policies across the evolution of modernity. The chapter specifically discusses the Atlantic slave trade and how it shaped the historical development of race and racism within the context of colonialism. It concludes with a discussion and critical review of some of the racist systems and policies which have been enforced across different multiracial countries.
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Political Science in the United States has focused too much on variable-oriented, quantitative methods and thus lost its ability to ask “big questions.” Stein Rokkan (d. 1979) was…
Abstract
Political Science in the United States has focused too much on variable-oriented, quantitative methods and thus lost its ability to ask “big questions.” Stein Rokkan (d. 1979) was an eminent comparativist who asked big questions and provided such qualitative tools as conceptual maps, grids, and clustered comparisons. Ibn Khaldun (d. 1406), arguably the first social scientist, also asked big questions and provided a universal explanation about the dialectical relationship between nomads and sedentary people. This article analyzes to what extent Ibn Khaldun's concepts of asabiyya and sedentary culture help understand the rise and fall of the Muslim civilization. It also explores my alternative, class-based perspective in Islam, Authoritarianism, and Underdevelopment. Moreover, the article explores how Rokkan's analysis of cultural, geographical, economic, and religio-political variations within Western European states can provide insights to the examination of such variations in the Muslim world.
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Building on previous historical works, this study aims to develop a framework to represent chambers as meta-organizations and present the case of Dersaadet Chamber of Commerce…
Abstract
Purpose
Building on previous historical works, this study aims to develop a framework to represent chambers as meta-organizations and present the case of Dersaadet Chamber of Commerce (DCC), based on this framework, during its emergence and evolution in the late 19th and early 20th centuries.
Design/methodology/approach
In the study, a historical narrative was constructed from primary and secondary data. To complement data collected from the archives a systematic content analysis was used to explore the discourse of the chamber within its serial magazine.
Findings
It was found that the first chamber of the Ottoman Empire, DCC, was established according to the public law model as an extension of the economic context and the guild order, and it was observed that it increasingly conformed to this model between 1882 and 1929.
Originality/value
In this study, chamber models are examined for the first time according to the designated features of meta-organizational forms, built on the historical work on chambers. The case of DCC suggested that it adopted a public law model and displayed much continuity, even when significant transitions were observed during the modernization process from Ottoman Empire to Turkish Republic.
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Andrew Dudash and Jacob E. Gordon
The purpose of this case study was to complement existing weeding and retention criteria beyond the most used methods in academic libraries and to consider citation counts in the…
Abstract
Purpose
The purpose of this case study was to complement existing weeding and retention criteria beyond the most used methods in academic libraries and to consider citation counts in the identification of important scholarly works.
Design/methodology/approach
Using a small sample of items chosen for withdrawal from a small liberal arts college library, this case study looks at the use of Google Scholar citation counts as a metric for identification of notable monographs in the social sciences and mathematics.
Findings
Google Scholar citation counts are a quick indicator of classic, foundational or discursive monographs in a particular field and should be given more consideration in weeding and retention analysis decisions that impact scholarly collections. Higher citation counts can be an indicator of higher circulation counts.
Originality/value
The authors found little indication in the literature that Google Scholar citation counts are being used as a metric for identification of notable works or for retention of monographs in academic libraries.
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