MétaCan
Menu
Back to cohort
Record W2280266592 · doi:10.1007/978-94-6091-534-5

The Substance of Truth

2011· book· en· W2280266592 on OpenAlexaff

Bibliographic record

VenueSensePublishers eBooks · 2011
Typebook
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsMcMaster UniversityConcordia UniversityMcGill University
Fundersnot available
KeywordsPsychologyComputer science

Abstract

fetched live from OpenAlex

At risk of appearing alarmist, it’s easy to ignore all the warning signs hanging around us that suggest the clock is ticking fast—real fast!—and that time left for due action is short. But if life for the next generation should contain some semblance of sanity—where life itself means more than shopping malls and commodities, where Power stands accountable to the demands of communities—all fear of coming across hyperbolic would have to give way to the realities staring us down. The risk also extends to coming across Pollyannaish, as though all the impurities and iniquities holding hostage society can be cured with essays or lectures.

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)0.006
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0070.034
Scholarly communication0.0150.026
Open science0.0010.004
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0170.006

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 head0.036
GPT teacher head0.278
Teacher spread0.242 · 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 designTheoretical or conceptual
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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueSensePublishers eBooksSame topicGeographies of human-animal interactionsFrench-language works237,207