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Record W4213039970 · doi:10.1177/10567879211015943

Releasing the Caged Phoenix: COVID-19 and the Rare Opportunity Afforded to Ontario's Teachers

2022· article· en· W4213039970 on OpenAlexaffabout
Jaime Whitley, William T. Smale

Bibliographic record

VenueInternational Journal of Educational Reform · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsTrent University
Fundersnot available
KeywordsCognitive reframingCurriculumPhoenixCoronavirus disease 2019 (COVID-19)PedagogyPandemicEducational leadershipSociologyPolitical sciencePsychologyMedicineMetropolitan area

Abstract

fetched live from OpenAlex

This paper addresses perceptions of how Ontario's response to the COVID-19 pandemica has changed the role of teachers. It explores the opportunity for Ontario's teachers to reframe their approach to curricula and pedagogy through their own personal leadership and to use the current pandemic landscape as a gateway rather than a barrier to growth. It chronicles the first wave of the pandemic response in Ontario's education sector, reveals windows of opportunity that have existed and continue to exist within current education policy, and explores scholarly work in the areas of currere, lived curriculum, localized curricula, and leadership in the spirit of learning and living.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.957
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0200.010
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.067
GPT teacher head0.392
Teacher spread0.325 · 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 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

Citations2
Published2022
Admission routes2
Has abstractyes

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