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Record W4407825394 · doi:10.26443/mje/rsem.v58i3.10479

Volume 58 Issue 3: Editorial

2024· article· fr· W4407825394 on OpenAlexaffvenueabout
McGill Journal of Education MJE

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2024
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsVolume (thermodynamics)ThermodynamicsPhysics

Abstract

fetched live from OpenAlex

This issue features eleven articles, one MJE Forum and three Notes from the Field.Certain of the articles address current issues in teacher education, namely, effective forms of cooperating teacher mentorship of pre-service teachers (Parks); too, of how self-reflection through writing can impact pre-service teachers, with this study contributing to the conversation from the Belgian context (Deschepper & Colognesi).Several focus on the preschool milieu: the influence on young children's pretend play of transmedia Disney princess marketing (Valade); of the quality of children's interactions within daycares (Lachapelle & Lemay) and with one another during Covid (Bouchard, Parent, Leboeuf, Couttet & McKinnon-Côté).Covid is the focus of a study of the effects of school closure on children with special needs (Giordano, Kathol, & Flanagan) while another investigated the relationship between new immigrant families and schools in Quebec during the first wave of the pandemic (Morin & Audet).A series of articles focused on the Quebec context looks at: intensive English language teaching (Thibeault & Forget), Frenchlanguage focused "reception classes" (Mamprin & Papazian-Zohrabian), and a tool to evaluate university students' resistance to change (Loi Zedda, Frenette, Thibodeau & Forget).For their part, also in the Quebec context, Ahehehinnou and Anne turn to questions about the actual effects on parent governance of Bill 105, an Education Act amendment that granted greater power to parent commissioners.In this issue, we also offer a MJE Forum conversation on, and useful introduction to, meditative inquiry via an interview with Ashwani Kumar, conducted by Bonnie Petersen.Ashwani Kumar's name has become synonymous with the use of meditative inquiry, whether in research or in classroom teaching -or living one's life.Three Notes from the Field take up various issues, approaches or thoughtprovoking ideas: teacher perceptions of students with special needs (Di Placido), a neurolinguistic approach to second language education and

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.193
Threshold uncertainty score0.646

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0120.005
Open science0.0030.003
Research integrity0.0100.010
Insufficient payload (model declined to judge)0.1930.119

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 head0.268
GPT teacher head0.362
Teacher spread0.094 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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
Published2024
Admission routes3
Has abstractyes

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