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Record W4415698604 · doi:10.4000/151ic

Libertà senza responsabilità: l’arte del governare in tempo di pandemia

2021· article· W4415698604 on OpenAlex

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

VenuePolitics · 2021
Typearticle
Language
FieldSocial Sciences
TopicHealthcare Facilities Design and Sustainability
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsGovernmentalityObligationSocial distanceDistancingCoronavirus disease 2019 (COVID-19)PandemicOrder (exchange)Function (biology)

Abstract

fetched live from OpenAlex

One of the main features of the Covid-19 pandemic has been the use of facial masks, recommended by some States and prescribed as an obligation by others. Covering faces by wearing a mask has played a double role: on one hand, the prescription has fulfilled a medical function in order to avoid the spread of the virus in those places where social distancing could be not observed; on the other, masks have played a symbolic role due to their ability to conceal the people’s faces. From this second perspective, the mask poses a problem of governmentality: How should we govern people during pandemics? Who should govern? Aim of this paper is to explore some cultural and socio-legal implications linked to the use (and the refusal) of the mask from abio-politics and governmentality perspective, by refreshing Foucauldian studies.

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)0.004
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.348
Teacher spread0.305 · 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