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Record W1656266670 · doi:10.20360/g21015

Deconstructing and Reconstructing Cinderella: Theoretical Defense of Critical Literacy for Young Children

2011· article· en· W1656266670 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.

Bibliographic record

VenueLanguage and Literacy · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMultitudeViewpointsCritical literacyPaceLiteracyPoliticsMedia literacyPersonaSociologyPower (physics)Media studiesAestheticsPedagogyVisual artsPolitical scienceArtHumanitiesLaw

Abstract

fetched live from OpenAlex

Early childhood education pedagogy needs to consider the potential role of critical literacy in preparing children to meet the ever changing and unprecedented pace of change in the literate world Media, technological, interactive, and corporate-constructed texts are fast becoming part of children’s everyday experience within industrialized nations. Like many other classic literary fictional characters (e.g., Pippi Longstocking, Paddington Bear, Winnie the Pooh, and Babar), Cinderella is no longer confined to the pages of a book. Cinderella’s image and persona appear in a multitude of texts, including, video, posters, clothing, toys, websites, and assorted paraphernalia, that children are repeatedly exposed to. Critical literacy can provide new and varied ‘lenses’ to understand experiences, explore multiple viewpoints, and uncover the influence of socio-political and power relationships in shaping perceptions and actions (Bainbridge, Malicky, & Payne, 2004).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.922

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.266
Teacher spread0.250 · 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