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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.

Governments worldwide have been trying to direct more students towards STEM specialty areas, but the number of students majoring in STEM and seeking a STEM career path is not proportional to their efforts. Additionally, the COVID-19 pandemic has brought to the surface the unrealistic expectations and false assumptions held by the general public about STEM fields. These have mainly been shaped by the “T” in the acronym, substituting technology for science. This brief urges for a policy shift in STEM and science education to reveal the true nature of science, emphasizing that science is not about providing definite answers nor granting miraculous solutions but about creating and disseminating knowledge based on the most accurate outcome informed by empirical evidence. Such a policy change will have a dual effect. First, it will ensure students authentically appreciate the nature of science, serve as agents of scientific thinking and reasoning within their communities, and become more oriented towards STEM majors. Secondly, this policy shift will prompt more realistic expectations and valid assumptions about science for the general public, which will help reduce public confusion and uncertainty, specifically at times of pandemics or emergencies.

Advanced education is often thought to respond to the demands of the economy, market forces create new occupations, and then universities respond with new degrees and curricula aimed at training future workers with specific new skills. Presented here is comparative research on an underappreciated, yet growing, concurrent alternative process: universities, with their global growth in numbers and enrollments, in concert with expanding research capacity, create and privilege knowledge and skills, legitimate new degrees that then become monetized and even required in private and public sectors of economies. A process referred to as academization of occupations has far-reaching implications for understanding the transformation of capitalism, new dimensions of social inequality, and resulting stratification among occupations. Academization is also eclipsing the more limited professionalization processes in occupations. Additionally, it fuels further expansion of advanced education and contributes to a new culture of work in the 21st century. Commissioned detailed German and US case studies of the university origins and influence on workplace consequences of seven selected occupations and associated knowledge, skills, and degrees investigate the academization process. And to demonstrate how universal this could become, the cases contrast the more open and less-restrictive education and occupation system in the US with the centralized and state-controlled education system in Germany. With expected variation, both economies and their occupational systems show evidence of robust academization. Importantly too is evidence of academic transformations of understandings about approaches to job tasks and use of authoritative knowledge in occupational activities.