MétaCan
Menu
Back to cohort
Record W3202449113 · doi:10.1007/s42650-021-00056-w

The Burden of COVID-19 in Canada

2021· editorial· en· W3202449113 on OpenAlexaffvenueabout
Simona Bignami

Bibliographic record

VenueCanadian Studies in Population · 2021
Typeeditorial
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Per capitaGeographyNova scotiaPopulationOutbreakSocioeconomicsDemographyPer capita incomeEconomic growthMedicineDiseaseSociologyEconomicsInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Two years ago, when I became editor of Canadian Studies in Population, no one would have imagined that, only a year later, the world would be in the midst of the most devastating pandemic of modern times.

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 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)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.569
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.425
Teacher spread0.343 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations9
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Studies in PopulationSame topicCOVID-19 and healthcare impactsFrench-language works237,207