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Record W3048072886 · doi:10.1007/s42438-020-00169-6

Teaching in the Age of Covid-19

2020· article· en· W3048072886 on OpenAlexaff
Petar Jandrić, David L. Hayes, Ian Truelove, Paul Levinson, Peter Mayo, Thomas Ryberg, Lilia D. Monzó, Quaylan Allen, Paul Alexander Stewart, Paul R. Carr, Liz Jackson, SM Bridges, Carlos Escaño, Dennis Grauslund, Julia Mañero, Happiness Onesmo Lukoko, Peter Bryant, Ana Fuentes Martínez, Andrew Gibbons, Sean Sturm, Jennifer Rose, Mohamed Muhibu Chuma, Eva Biličić, Sarah Pfohl, Ulrika Gustafsson, Janine Arantes, Derek R. Ford, Jimmy Ezekiel Kihwele, Peter Mozelius, Juha Suoranta, Lucija Jurjević, Matija Jurčević, Anne Steketee, Jones Irwin, E. Jayne White, Jacob Davidsen, Jimmy Jaldemark, Sandra Abegglen, Tom Burns, Sandra Sinfield, James D. Kirylo, Ivana Batarelo Kokić, Georgina Stewart, Glenn Rikowski, Line Lisberg Christensen, Sonja Arndt, Olli Pyyhtinen, Charles Reitz, Mikkel Lodahl, Niklas Humble, Rachel Buchanan, Daniella J. Forster, Pallavi Kishore, Jānis T. Ozoliņš, Navreeti Sharma, Shreya Urvashi, Harry Nejad, Nina Hood, Marek Tesař, Yang Wang, Jake Wright, James Benedict Brown, Paul Prinsloo, Kulpreet Kaur, Mousumi Mukherjee, Rene Novak, Richa Shukla, Stephanie Hollings, Ulla Konnerup, Madhav Mallya, Anthony Olorundare, Charlotte Achieng-Evensen, Abey P. Philip, Hazzan Moses Kayode, Kevin Stockbridge, Blessing Funmi Komolafe, Ogunyemi Folasade Bolanle, Michael Hogan, Bridgette Redder, Sahar D. Sattarzadeh, Michael Jopling, Suzanne SooHoo, Nesta Devine, Sarah Hayes

Bibliographic record

VenuePostdigital Science and Education · 2020
Typearticle
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsUniversity of CalgaryUniversité du Québec en Outaouais
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyPandemicMedicineOutbreakInfectious disease (medical specialty)Internal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.010
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.006
Scholarly communication0.0090.007
Open science0.0010.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0400.006

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 head0.037
GPT teacher head0.328
Teacher spread0.290 · 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

Citations234
Published2020
Admission routes1
Has abstractno

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