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Record W3086092598 · doi:10.26522/brocked.v29i2.837

COVID19 & The Ongoing Problem of Educational Efficiency

2020· article· en· W3086092598 on OpenAlex

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

VenueBrock Education Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsBrock University
Fundersnot available
KeywordsPaceCoronavirus disease 2019 (COVID-19)Field (mathematics)GazePeriod (music)SociologyState (computer science)PsychologyAestheticsMedicinePsychoanalysisGeographyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

In many ways, the current COVID-19 crisis has provided the impetus, or else opportunity, to examine the state of education and schools today. Currently, responses have focused largely on instrumental, pragmatic concerns that would allow formal education to “return to normal” as soon as possible. Perspectives such as these demonstrate the ongoing prevalence of values surrounding educational efficiency and how the pursuit of efficiency continues to dominate the field of educational reform. Thus, this essay reflects on the ideas of place, pace, and purpose in education surrounding the problematic nature of efficiency and asks instead to consider how we might shift our gaze to reconceptualize education in the contemporary period and beyond.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.370
Teacher spread0.326 · 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