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Record W2140225709 · doi:10.1109/fie.2006.322741

"You're all a bunch of fucking feminists:" Addressing the perceived conflict between gender and professional identities using the Montreal Massacre

2006· article· en· W2140225709 on OpenAlexaboutno aff
Donna Riley, Gina-louise Sciarra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsProfessionalizationGender studiesNegotiationCurriculumPoliticsIdentity (music)SociologyClass (philosophy)PsychologyPolitical sciencePedagogyComputer scienceLawSocial science

Abstract

fetched live from OpenAlex

A case study of the Montreal Massacre was employed in a core engineering thermodynamics class, using two video news clips to spur discussion about the event and about the intersection of gender identity and feminist politics with the engineering profession. In the pilot test of our lesson plan, students discussed strategies for addressing overt and subtle sexism, negotiating questions of dress in the profession, the ways they use gendered behavior or gender distancing as strategies, work-life balance, competition and women's success as a threat. Such concerns are not typically included in professionalization aspects of engineering curricula, but their importance for both women and men is evident. We present our lesson plan and discussion outcomes, and address multiple contexts in which this case can be utilized to teach about gender and engineering

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.190
GPT teacher head0.356
Teacher spread0.167 · 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.

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

Citations11
Published2006
Admission routes1
Has abstractyes

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