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Record W2045628458 · doi:10.1080/17400201.2014.923303

Pedagogical discourses of gender, peace, and equality: Jane Addams Children’s Book Awards

2014· article· en· W2045628458 on OpenAlexaff
Nancy Taber

Bibliographic record

VenueJournal of Peace Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsEssentialismSociologyGender studiesPrivilege (computing)Sociocultural evolutionPerspective (graphical)FeminismSociocultural perspectivePolitical scienceLawAnthropology

Abstract

fetched live from OpenAlex

This article discusses a feminist critical discourse analysis research project of award-winning books of the Jane Addams Peace Association. Children’s books carry societal messages that are gendered, raced, and classed, with award-winning books carrying an additional message of exceptionality as they are viewed as deserving of attention. Thus, the discourses they circulate are important points of analysis. This research, using data from the Jane Addams Children’s Book Awards (focusing on books for older children – young adult literature), takes a feminist antimilitarist perspective to explore the sociocultural implications of children’s literature for education and learning. I examine research with respect to award-winning literature, define my theoretical framework of feminist antimilitarism, explain my methodology of feminist discourse analysis, and detail my findings. I conclude that the awards as a whole function pedagogically to define conflict in ways that privilege colonial discourses, with women represented in essentialist ways and inequality perceived as absent in the contemporary West.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.268

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 studies0.0000.000
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 head0.065
GPT teacher head0.392
Teacher spread0.327 · 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 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

Citations7
Published2014
Admission routes1
Has abstractyes

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