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Record W4405978398 · doi:10.26522/jiste.v28i2.4939

About This Issue

2024· article· en· W4405978398 on OpenAlexaffabout
Leanne Taylor, Jessie Nixon

Bibliographic record

VenueJournal of the International Society for Teacher Education · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsBrock University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This issue of the Journal of the International Society for Teacher Education (JISTE), titled Fostering Inclusive and Reflective Pedagogies: Advancing Education Through Equity, Collaboration, and Student Engagement, explores innovative and diverse approaches to teacher education by reflecting on the intersection of identity, collaboration, student motivation, and inclusive pedagogies across global contexts. Featuring case studies, research, and reflective essays from Bhutan, Ghana, Canada, and the United States, the articles address key topics such as equitable disciplinary practices, the inclusion of neurodiverse learners, and interdisciplinary collaboration between educators and support staff. Emphasizing the importance of culturally responsive teaching, professional development, and reflective practice, this issue highlights how these approaches foster student engagement and enhance educational outcomes. By examining how varied national contexts respond to the challenges and opportunities in contemporary education, this issue provides valuable insights for educators, researchers, and policymakers.

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)0.001
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.551
Threshold uncertainty score0.641

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0020.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.5510.386

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 head0.031
GPT teacher head0.342
Teacher spread0.311 · 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.

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 routes2
Has abstractyes

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