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Record W3038231064 · doi:10.33137/jaste.v11i2.34536

Collegial Conversations at a Time of COVID-19

2020· article· en· W3038231064 on OpenAlex
Steve Alsop, Darren Hoeg

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.

Bibliographic record

VenueJournal for Activist Science and Technology Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsYork University
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)RacismAction (physics)SociologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakInequalityPolitical sciencePublic relationsPedagogyMedicineGender studiesVirology

Abstract

fetched live from OpenAlex

During the COVID-19 pandemic in 2020, citizens and social institutions have been called into action. Questions of the future of school and an appropriate educational response to the pandemic have been widely discussed and debated. As scholars of science education, subjects particularly relevant to educating about the virus and its transmission, we discuss the roles and responsibilities of science education during pandemic. The format of this paper is a dialogue. We discuss theoretical positions related to science education and the pandemic, inequalities and injustices, recent anti-Black racism protests, and concrete pedagogical responses. As our discussion progressed, we increasingly recognize teachers and students as crucial agents in developing community-grounded, critical place-based, educational responses, recognising and addressing injustices related to differential global and local realities experienced during the pandemic.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.025
GPT teacher head0.354
Teacher spread0.329 · 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