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Record W3039252969 · doi:10.5565/rev/periferia.769

Confusió mèdica i incertesa social: apunts etnogràfics sobre la construcció del risc durant la pandèmia per la Covid-19 a Catalunya

2020· article· ca· W3039252969 on OpenAlex
Blai Taberner Curado, Gemma Domènech Vergés, Irene Iglesias Masferrer

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.

Bibliographic record

VenuePerifèria Revista d investigació i formació en Antropologia · 2020
Typearticle
Languageca
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)Context (archaeology)ConfusionEthnographyPolitical scienceArtSociologyGeographyArchaeologyMedicinePsychologyAnthropology

Abstract

fetched live from OpenAlex

La pandèmia de la Covid-19 ha impactat a Catalunya fent que la noció de risc hagi predominat en els discursos de la societat. Aquesta recerca mostra que les nocions de risc tenen la confusió com a element estructural i fundacional de la seva construcció pel que fa a aspectes relacionats amb la salut. A més, aquest risc percebut no només es vincula a elements de salut i malaltia, sinó que el context social, econòmic, cultural i polític intervé de forma clara en la seva construcció. En concret, la situació laboral es presenta com un dels elements primordials en l’articulació del risc amb les seves pràctiques associades. Aquest article suposa un apropament etnogràfic a la pandèmia per dibuixar camins de futures recerques i contribuir al coneixement teòric de l’antropologia en una situació d’excepcionalitat.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.003

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 head0.070
GPT teacher head0.392
Teacher spread0.321 · 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