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Record W1985229745 · doi:10.1080/1360144x.2013.862622

Agency matters: academic developers’ quests and achievements

2014· article· en· W1985229745 on OpenAlexafffundabout
Alenoush Saroyan

Bibliographic record

VenueThe International Journal for Academic Development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaMcGill UniversityWorld Bank Group
KeywordsNorwegianAgency (philosophy)Resistance (ecology)Context (archaeology)Compliance (psychology)SociologyStructure and agencyEngineering ethicsScholarshipPublic relationsPolitical scienceSocial scienceEngineeringPsychologyLawLinguisticsSocial psychology

Abstract

fetched live from OpenAlex

The paper provides an analysis of the concepts of agency, compliance, and resistance, drawing on evidence provided in the Belgian, Norwegian, and Polish cases in this Special Issue, as well as the Canadian context. Using the Cultural Historical Activity Theory framework as a lens, it highlights conditions that foster agency, those that may invoke compliance or resistance, and those that lead to fruitful collaboration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.044
metaresearch head score (Gemma)0.124
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.124
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0180.020
Scholarly communication0.0290.015
Open science0.0020.016
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.081
GPT teacher head0.439
Teacher spread0.358 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations13
Published2014
Admission routes3
Has abstractyes

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