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Record W1978618915 · doi:10.2304/ciec.2011.12.4.367

Contextual Worlds of Child Art: Experiencing Multiple Literacies through Images

2011· article· en· W1978618915 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueContemporary Issues in Early Childhood · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSemioticsNarrativeFocus (optics)Visual literacyLiteracyQualitative researchVisual artsSociologyPedagogyEarly childhood educationPsychologyArtEpistemologySocial scienceLiterature

Abstract

fetched live from OpenAlex

This article draws from a larger study that examines the multiple literacies inherent in children's drawings. The author discusses a qualitative research project conducted with a split grade one and two classroom in Toronto, Canada. She argues that pictorial images can be read as a form of literacy, where thought is made public through visual narratives. The author's prime focus was to interpret the children's artwork as communication on a par with other semiotic modes and to explore the images as an important vehicle for teaching and learning.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.255
Teacher spread0.214 · 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