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Record W2036722315 · doi:10.1002/trtr.01098

Picture This: Visual Literacy as a Pathway to Character Understanding

2012· article· en· W2036722315 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.

Bibliographic record

VenueThe Reading Teacher · 2012
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsVisual literacyCharacter (mathematics)PsychologyMeaning (existential)LiteracyReading (process)LinguisticsMathematics educationPedagogy

Abstract

fetched live from OpenAlex

Abstract The literary element of character is critical to literary meaning‐making, and in picturebooks images provide information important to understanding characters. This manuscript shares results of an investigation that explored the kinds of pictorial information young children use to gain insights into the characters and provide practical ways teachers can extend their own as well as children's engagement with visual text. Following read alouds of three picturebooks, second graders were shown pre‐selected illustrations from the books and interviewed. Insights gained suggest children are aware of important visual information and use certain types of visual information to understand character. Yet, many children were not attuned to several intentional visual devices used by illustrators. Therefore, teachers have important work to do in fostering children's visual literacy. Teachers must value, draw attention to, and explore illustrations and artistic devices illustrators utilize to facilitate visual literacy and character development.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.110
GPT teacher head0.430
Teacher spread0.319 · 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