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Record W3083946509 · doi:10.1080/03004279.2020.1818268

Elementary students meaning-making of the science comics series by first second

2020· article· en· W3083946509 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

VenueEducation 3-13 · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComicsMeaning (existential)SemioticsReading (process)Variety (cybernetics)Meaning-makingSelection (genetic algorithm)Mathematics educationVisual artsPsychologyArtComputer scienceLinguisticsLiteraturePhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

During a classroom-based study, eight – to ten-year-old students had multiple opportunities to develop their knowledge and understanding about semiotic resources for meaning-making in picturebooks and graphic novels. Instruction during the study included a variety of activities that focussed on a selection of elements of visual art and design, and conventions of the medium of comics. A component of the study involved the Grades 4 and 5 students reading and discussing, and writing about two science graphic novels. Content analysis of the students’ responses to these multimodal ensembles revealed how the students identified, described, and interpreted various elements of visual art and design, and conventions of the medium of comics in the science comics as fulfilling multiple meaning-making purposes. The findings indicated that student learning about the what, why and how of design affected their aesthetic understanding of and critical thinking about the science graphic novels.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score1.000

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 communication0.0000.000
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 head0.023
GPT teacher head0.263
Teacher spread0.240 · 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