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Record W2411793423 · doi:10.1111/lit.12081

Railways, rebellions and Rage Against The Machine: adolescents' interests and meaning‐making in the creation of multimodal identity texts

2016· article· en· W2411793423 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

VenueLiteracy · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsWestern University
Fundersnot available
KeywordsMeaning-makingMeaning (existential)MultimodalityCurriculumIdentity (music)PedagogyLiteracyQualitative researchSociologyBridge (graph theory)Grounded theoryPsychologyLinguisticsAestheticsSocial scienceArt

Abstract

fetched live from OpenAlex

Abstract This paper draws on a Canadian qualitative case study grounded in multiliteracies theory to describe the meaning‐making processes of four students aged 13‐14 years as they created history projects. Students were invited to explore curriculum content in self‐chosen ways and to produce presentations in a range of formats. The data we present and discuss were collected through participant observation and in‐situ interviews with four students who selected digital formats. We examine these data using multiliteracies concepts: specifically multimodality and identity texts. We argue that multimodal literacy practices have potential to bridge gaps between students' in‐school and out‐of‐school lives and underscore the importance of allowing students to draw on their out‐of‐school identities and interests to guide explorations of curriculum content.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.269

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)0.0000.000

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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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