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Record W3097416174 · doi:10.1080/03057925.2020.1838121

Comparative and international higher education in a new key? Thoughts on the post-pandemic prospects of scholarship

2020· article· en· W3097416174 on OpenAlexaff
Anatoly Oleksiyenko, Gerardo L. Blanco, Ruth Hayhoe, Liz Jackson, Jack Lee, Amy Scott Metcalfe, Malini Sivasubramaniam, Qiang Zha

Bibliographic record

VenueCompare A Journal of Comparative and International Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of British ColumbiaYork UniversityUniversity of Toronto
Fundersnot available
KeywordsScholarshipPandemicCoronavirus disease 2019 (COVID-19)Political science2019-20 coronavirus outbreakKey (lock)Higher educationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)SociologyLibrary scienceMedia studiesMedicineVirologyLawComputer science

Abstract

fetched live from OpenAlex

Anatoly V. Oleksiyenko Faculty of Education, The University of Hong Kong, Hong Kong At the time of writing this Forum, many nations, cities, and universities are still in lockdown due to the COVID-...

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)0.014
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.025
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.041
Scholarly communication0.0250.036
Open science0.0020.008
Research integrity0.0120.011
Insufficient payload (model declined to judge)0.0120.001

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 head0.132
GPT teacher head0.429
Teacher spread0.297 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations50
Published2020
Admission routes1
Has abstractyes

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