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Record W7132949555

Reading between the "Frames": English Language Learners' and non-English Language Learners' Responses to Graphic Novels

2011· dissertation· en· W7132949555 on OpenAlexaff
Jessica Chalin Chang

Bibliographic record

VenueTSpace · 2011
Typedissertation
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReading (process)LiteracyEnglish languageSocial justiceEconomic JusticeLanguage acquisitionExtensive readingLanguage assessment
DOInot available

Abstract

fetched live from OpenAlex

Literacy in the 21st century is constantly evolving. To teach literacy effectively, educators need to embrace and understand linguistic, cultural and textual practices that are relevant for students. Reading and responding to graphic novels in face-to-face and online settings are such 21st century literate practices. This thesis focuses on how grade 6 students who are both English Language Learners and non-English Language Learners respond and connect to social justice issues in graphic novels through literature circles, online blogging and personal journals. Responses to social justice issues were fairly similar between English Language Learners and non-English Language Learners, especially based on a cultural experience standpoint. It is important for educators to encourage students to connect with prior experiences and knowledge with social justice issues and stereotypes that exist in their own world. This prepares students to become more socially conscious and critical thinkers about the world around them.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.323
Teacher spread0.285 · 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.

Study designQualitative
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

Citations0
Published2011
Admission routes1
Has abstractyes

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