Confusió mèdica i incertesa social: apunts etnogràfics sobre la construcció del risc durant la pandèmia per la Covid-19 a Catalunya
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".