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Record W7124276831 · doi:10.4000/15hvo

Introduzione

2023· book-chapter· it· W7124276831 on OpenAlexfundno aff
Giulio Sacco

Bibliographic record

VenueRosenberg & Sellier eBooks · 2023
Typebook-chapter
Languageit
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsnot available
FundersRadcliffe Institute for Advanced Study, Harvard UniversityHarvard UniversityAmerican Philosophical SocietyPrinceton UniversityUniversità degli Studi di PaviaWellesley CollegeYale UniversityBarnard CollegeNorthern Illinois UniversityYork UniversityWissenschaftszentrum Berlin für SozialforschungBayerische Akademie der Wissenschaften
KeywordsContext (archaeology)Work (physics)Field (mathematics)

Abstract

fetched live from OpenAlex

La filosofia delle emozioni è diventata negli ultimi anni un campo di ricerca sempre più fiorente. Sia all’estero che in Italia, sono proliferate introduzioni allo studio di questo argomento1, che ha suscitato grande interesse sia nel pubblico accademico che tra i non specialisti. Un interesse (quasi) altrettanto intenso ha investito la figura di Martha Nussbaum, una delle autrici più discusse in molti settori de

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.116
Threshold uncertainty score0.389

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1160.054

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 head0.058
GPT teacher head0.305
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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