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Record W3117812965 · doi:10.18601/01245996.v23n44.07

Qué salió mal: el coronavirus y el mundo después del pare total

2020· article· es· W3117812965 on OpenAlexaff
Carlo Caduff

Bibliographic record

VenueRevista de Economía Institucional · 2020
Typearticle
Languagees
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsHumanitiesPhilosophyCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Medicine

Abstract

fetched live from OpenAlex

Este artículo examina la respuesta global a la pandemia de covid-19. Argumenta que es urgente ver más allá del virus para entender la verdadera gravedad de loque está sucediendo hoy. ¿Cómo terminamos en un espacio de pensamiento, acción y sentimiento que ha normalizado los extremos y se basa en el supuesto de que la vida biológica es un valor absoluto separado de la política? El autor sugiere que el temor actual es alimentado por los modelos matemáticos de la enfermedad, las políticas de salud neoliberales, los informes nerviosos de los medios y los anhelos autoritarios.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
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)0.0060.005

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 head0.062
GPT teacher head0.350
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations5
Published2020
Admission routes1
Has abstractyes

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