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Record W2443425091 · doi:10.36510/learnland.v8i2.712

"Roots and Routes": Professional Educators’ Transformative Insights Into the Linguistic and Experiential Worlds of Generation 1.5 Language Minority Students

2015· article· en· W2443425091 on OpenAlexaffvenueabout
Sandra R. Schecter, Barbara Arthurs, Sherri Sengupta, Alice Siu Ling Wong

Bibliographic record

VenueLEARNing Landscapes · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsSituatedTransformative learningExperiential learningPedagogyAction (physics)LiteracySociologyProfessional developmentKey (lock)PsychologyComputer science

Abstract

fetched live from OpenAlex

This article explores findings of a project that addressed the academic literacy development of children who are born and/or begin their formal schooling in Canada, but who are raised in homes where the societally dominant language is not the primary idiom. It focuses on collaborating educators’ professional learning through engagement in community-referenced action research that provided opportunities for eighth graders to explore themes related to their developing personal and socially situated identities. One key insight pertained to students’ access to information regarding their family histories and trajectories; a second, to linguistic dynamics internal to generation 1.5 linguistic minority youths’ households.

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)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.030
GPT teacher head0.410
Teacher spread0.380 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2015
Admission routes3
Has abstractyes

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