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Record W4392416040 · doi:10.5937/andstud2302009k

Academic professionalisation and hybrid professionalism in adult education

2023· article· en· W4392416040 on OpenAlexaff
Elena Klimkina, Sarah-Maria Rotschnig, Jiin Yoo, Lisa Breitschwerdt, Leslie Cordie, Paula Guimarães

Bibliographic record

VenueAndragoske studije · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsUniversity of British Columbia
FundersErasmus+Julius-Maximilians-Universität Würzburg
KeywordsEngineering ethicsSociologyPedagogyMathematics educationPolitical sciencePsychologyEngineering

Abstract

fetched live from OpenAlex

Discourse on professionalisation and professionalism is a longstanding focus in adult education practice and research. Drawing on the theoretical framework of Freidson (2001) and Noordegraaf (2007, 2015), this qualitative research combined an explorative method and an in-depth analysis (Nutt Williams & Hill, 2012; Williams & Morrow, 2009). It focussed on the comparison of adult education programmes at the Master's level in three countries (document analysis), and the critical reflection on logics of action three adult educators of the referred countries themselves use to describe their work (semi-structured interviews). Thematic content analysis was used to examine data concerning academic professionalisation and professionalism in adult education. Findings showed that the extent of promoting professionalisation appeared differently in each country, depending on the social and historical contexts and the interplay among several factors within which higher education institutions offering programs on adult education are settled. In addition, the practice of adult educators expressed by themselves involved several logics of action. This study highlights the presence of hybrid professionalism in adult education.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.464
Teacher spread0.398 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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