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Record W2729892750 · doi:10.1075/jicb.5.2.05bou

A sociocognitive model of interventions for writing instruction

2017· article· en· W2729892750 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

VenueJournal of Immersion and Content-Based Language Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsEthnographyPsychological interventionPsychologyContext (archaeology)Think aloud protocolPedagogySociologyComputer science

Abstract

fetched live from OpenAlex

This summary reports on an ethnographic study conducted in French immersion concerning the writing development of at-risk and typically developing writers. Eight Grade 7 writers – four at-risk and four typically developing – were observed closely during classroom observations and participated in think-aloud protocols at the beginning and at the end of the school year 2012–2013 as well as in formal and informal interviews. In addition, the context in which those eight writers were learning to write was taken into consideration, therefore a total of 20 students participated in this study. Four teachers, the resource teacher, the counselor, and the two administrators were informants. Adopting a sociocognitive lense, the data reported here provide a detailed description of how the socioaffective, affective, and academic domains affected writing development, especially for at-risk writers. In order to respond to the affective and social needs of the writers of this study, a Sociocognitive Model of Interventions for Writing Instruction is proposed.

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)0.001
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 score0.978
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.117
GPT teacher head0.416
Teacher spread0.300 · 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