MétaCan
Menu
Back to cohort
Record W3021096355 · doi:10.1177/0891243220914521

The Failure of Gender Equality Initiatives in Academia: Exploring Defensive Institutional Work in Flemish Universities

2020· article· en· W3021096355 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
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

VenueGender & Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
FundersKU LeuvenUniversiteit AntwerpenUniversiteit HasseltSimon Fraser UniversityVlaamse regeringEuropean Commission
KeywordsFlemishGender equalityPaceWork (physics)InequalityRepresentation (politics)Gender inequalityResistance (ecology)Public relationsPolitical scienceDimension (graph theory)SociologyGender studiesLawPolitics

Abstract

fetched live from OpenAlex

Although a large number of studies have explored the main causes of gender inequality in academia, less attention has been given to the processes underlying the failure of gender equality initiatives to enhance gender representation, especially at the professorial level. We offer a critical discourse analysis of recently promulgated gender policy documents of the five Flemish universities, and demonstrate that defensive institutional work is a fundamental process underlying resistance to gender equality in the academic profession. That is, powerful organizational actors resist gender change by (un)intentionally deploying a combination of discursive strategies that legitimate what we describe as non–time-bound gender equality initiatives: The expected outcomes are undetermined in time, and they delegitimate concrete, time-bound measures that define specific outcomes against well-defined deadlines. By explicitly bringing a temporal dimension into our analysis, we argue that defensive institutional work deflects questions regarding what ought to be achieved when, and contributes to the slow pace of gender change in academia.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.055
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.290
GPT teacher head0.320
Teacher spread0.031 · 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