MétaCan
Menu
Back to cohort

Entrevista com Ian Hacking: (por Paul Kennedy e David Cayley)

2009· article· pt· W2021510060 on OpenAlexaboutno aff

Bibliographic record

VenuePsicologia & Sociedade · 2009
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsHackerCorporationSociologyHumanitiesMedia studiesArtPolitical scienceLawComputer scienceComputer security

Abstract

fetched live from OpenAlex

Durante o ano de 2007, A Canadian Broadcasting Corporation – CBC - como parte do programa IDEAS, realizou uma serie de 24 entrevistas, apresentadas por Paul Kennedy, com o intuito de refletir sobre uma questao intrigante: “How to Think About Science?” (como pensar a ciencia), nome dado ao programa ...

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)0.005
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.006
Scholarly communication0.0090.011
Open science0.0010.006
Research integrity0.0070.014
Insufficient payload (model declined to judge)0.0230.009

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 head0.078
GPT teacher head0.367
Teacher spread0.289 · 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.

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

Citations4
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePsicologia & SociedadeSame topicScience and Science EducationFrench-language works237,207