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Record W4323022194 · doi:10.21423/awlj-v37.a9

Literature Review of The University Teaching Trap of Academic Women

2017· article· en· W4323022194 on OpenAlex
Helene A. Cummins

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdvancing Women in Leadership Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsNeglectWork (physics)SociologyHigher educationPublic relationsBalance (ability)Political scienceSocial workCareer developmentTrap (plumbing)Service (business)Medical educationPedagogyPsychologyBusinessMedicineEngineeringMarketing

Abstract

fetched live from OpenAlex

Commonplace division of labor practices in Canadian academia favor a forty percent focus on each of teaching and research, with a twenty percent focus on service. The social climate, workplace culture, and social structure of academe often burdens women faculty with excessive teaching responsibilities. This may inhibit both their career success, and personal work-life balance. The absence of workplace policies, career and institutional support often encumbers women faculty and produces inequities in the workplace triggering what is defined as the "teaching trap". Smaller universities, financial cutbacks in the university system, and the general neglect of the needs of women academics serves to maintain both unfair, and unequal treatment of women scholars in the academy. The implications of these issues are discussed.Keywords: Women faculty, university teaching trap, workplace culture, structural barriers, Canada

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.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.058
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.121
GPT teacher head0.330
Teacher spread0.209 · 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