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Record W3032471739 · doi:10.1080/03323315.2020.1754880

Mapping an agenda for gender equality in the academy

2020· article· en· W3032471739 on OpenAlexaboutno aff
Pat O’Connor, Judith Harford, Tanya Fitzgerald

Bibliographic record

VenueIrish Educational Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsGender equalityGender studiesPolitical scienceSociology

Abstract

fetched live from OpenAlex

Higher educational organisations across the EU, and indeed globally, remain male-dominated. The fact that men occupy 86 per cent of all positions of Rector/ President/Vice Chancellor and 76 per cent of all full professorial positions, illustrates the way in which these organisations are designed by men for men. Their deeply embedded structural and cultural features reflect, reinforce and perpetuate patriarchal and more recently managerialist and neoliberal forces. This article provides an introduction to a Special Issue focussing on gender equality in higher education. Articles included offer a critique of how higher educational institutions across Ireland, the UK, Canada, Australia and New Zealand are addressing the perennial issue of gender equality. The Special Issue emanates from a symposium funded by the Irish Research Council and hosted in the Royal Irish Academy, Dublin, in October 2018. The papers are organised according to three over-arching themes: the gendered character of academia; female leadership in academia; and gendered organisations. It concludes with suggestions regarding a future research agenda.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.503
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.727
GPT teacher head0.497
Teacher spread0.231 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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