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Record W158663060

“A Nice Little Wife to Make Things Pleasant:᾿ Portrayals of Women in Canadian History Textbooks Approved in British Columbia

2005· article· en· W158663060 on OpenAlexaffabout
Penney Clark

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l'éducation de McGill · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesFeminismEthnologyArtGender studiesSociology
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT. This study examined 20th Century Canadian history textbooks authorized in British Columbia, for their portrayals of women. The texts do not adequately reflect feminist scholarship nor societal changes. The nation building narrative of the textbooks precludes the inclusion of women in important ways. In the interwar years, the women who appear in history textbooks are portrayed as parasitic and weak. In the 1950s to 1970s period inclusion requires royal status or fame as a writer. In the 1980s women are often depicted in larger-than-life ways and “filler feminism᾿ is a problem. “UNE BELLE PETITE FEMME POUR RENDRE LES CHOSES PLAISANTES᾿ : PORTRAITS DE FEMMES DANS LES MANUELS SCOLAIRES D’HISTOIRE CANADIENNE APPROUVES DANS LA COLOMBIE BRITANNIQUE RESUME. Cette etude examine les portraits de femme dans les manuels scolaires d’histoire du Canada au 20eme siecle, autorises dans la Colombie Britannique. Ces textes ne refletent pas adequatement les etudes feministes et les changements sociaux. Le recit des manuels au sujet de la construction de la nation exclut l’inclusion des femmes de multiples facons. Durant l’entre deux guerres, les femmes qui apparaissent dans les manuels d’histoire sont decrites comme parasitaires et faibles. Des annees 1950 a 1970, l’inclusion exigeait un statut royale ou une renommee en tant qu’auteur. Dans les annees 1980, les femmes sont souvent decrites de facon « plus large que la vie » et «le feminisme comme dedommagement» est un probleme.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.086
GPT teacher head0.324
Teacher spread0.238 · 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 designNot applicable
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

Citations19
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueMcGill Journal of Education / Revue des sciences de l'éducation de McGillSame topicCanadian Identity and HistoryFrench-language works237,207