“A Nice Little Wife to Make Things Pleasant:᾿ Portrayals of Women in Canadian History Textbooks Approved in British Columbia
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.025 | 0.009 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".