MétaCan
Menu
Back to cohort
Record W4387824729 · doi:10.1353/his.2019.a910550

“Trust the Women”: Dora Meeson Coates’s Suffrage Banner and the Popular Construction of Australia’s Feminist Past in the Late Twentieth Century

2023· article· fr· W4387824729 on OpenAlexvenueno aff
James Keating

Bibliographic record

VenueHistoire sociale · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSuffrageArtWomen's suffragePolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

En 1988, le gouvernement fédéral australien a acheté la bannière « Trust the Women » de l’artiste anglo-australienne Dora Meeson Coates dans le cadre des efforts tardifs du pays pour commémorer les victoires en matière de suffrage qui avaient jadis permis à ses citoyens Blancs d’être le peuple avec le droit de vote le plus étendu de la planète. Cependant, entre la fin du siècle et les années 1970, une période qui a vu la montée simultanée de l’histoire des femmes et du féminisme d’État, les féministes ont fait preuve d’ambivalence quant à la commémoration des campagnes de suffrage, plus particulièrement au niveau national. Depuis la fin des années 1980, la bannière a connu une transformation, passant d’un artefact dont peu d’Australiens connaissaient l’existence, et encore moins qu’ils avaient oublié, au symbole le plus familier des mouvements de suffrage du pays. Provoqué par les agents de la mémoire — activistes, bureaucrates, historiens et politiciens—ce changement révèle l’attrait public de l’iconographie du suffrage britannique au détriment de l’enregistrement matériel du labeur « tranquille » des activistes australiens, un sentiment qui a de plus en plus façonné la commémoration des histoires locales du suffrage.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.183
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.018
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.273
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHistoire socialeSame topicHistorical Gender and Feminism StudiesFrench-language works237,207