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Record W3205741928 · doi:10.29173/cons29461

A Fight of Gender Equality: Our Suffragist Role Models

2021· article· en· W3205741928 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueConstellations · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRealmAction (physics)Representation (politics)PoliticsSociologyPolitical scienceWork (physics)Feminist movementGender equalityLawGender studiesEngineering

Abstract

fetched live from OpenAlex

This paper examines the legacy of Canadian suffragists in the realm of women’s political representation by analyzing some of their successes and failures and the methods in which they used to arrive at those results. Feminist movements and the fight for equality and systemic change are only increasing and becoming more widely participated in as time moves forward, making it of utmost importance to acknowledge our foundational change-makers and to pull lessons from their methods and attempt to apply them to modern-day movement tactics. Using work from various notable authors, such as Carol Bacchi, Erin Steuter and Sue Findlay, this paper follows the suffragists’ path to enfranchisement (the right to vote) and develops bridges between historical and modern feminist calls to action. While it is noted that our time periods are vastly different, many basic elements can be examined, and it is shown that these bridges are crucial to learning how to navigate current and future fights for change with the desired success.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.067
GPT teacher head0.296
Teacher spread0.229 · 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