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Record W3083275260 · doi:10.21810/sfuer.v13i1.1033

Educational Change and NEXTSchool

2020· article· en· W3083275260 on OpenAlex
Lisa Starr, Joseph Levitan, Lynn Butler-Kisber, Aron Rosenberg, Vanessa Gold, Ellen MacCannell

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSFU Educational Review · 2020
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsMcGill University
Fundersnot available
KeywordsContext (archaeology)Conceptual changeProcess (computing)Political scienceCurrent (fluid)SociologyEngineering ethicsPedagogyEngineeringComputer scienceGeography

Abstract

fetched live from OpenAlex

In this paper, we examine the current literature on whole-school-system change processes, and the ways in which research findings may be applied to schools in Quebec, Canada. Throughout the paper we use a current school change initiative, NEXTschool, to explore the possibilities and challenges that some of this literature presents, applied to a specific context. At the conclusion we offer a conceptual framework that underpins how we conceptualize the NEXTSchool initiative. The review focuses on three fields that have emerged as relevant to current change movements: 21st century educational change/reform, power dynamics, and design thinking as a systems-change process.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.477
Threshold uncertainty score0.996

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0500.005

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 head0.271
GPT teacher head0.478
Teacher spread0.206 · 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