MétaCan
Menu
Back to cohort
Record W2406126233 · doi:10.1515/apd-2016-0003

The French staff material from Johann Georg Pasch

2016· article· en· W2406126233 on OpenAlexaboutno aff
Olivier Dupuis

Bibliographic record

VenueActa Periodica Duellatorum · 2016
Typearticle
Languageen
FieldPsychology
TopicPhysical education and sports games research
Canadian institutionsnot available
Fundersnot available
KeywordsCriticismBiographyClassicsQuarter (Canadian coin)HistoryArt historyArtLiteratureArchaeology

Abstract

fetched live from OpenAlex

Abstract Johann Georg Pasch was a very prolific author who published a large number of books during the third quarter of the seventeenth century. Some of these included physical exercises with a long staff and presented by Pasch himself as coming from France. Among all the known editions, four different versions can be isolated; this offers the possibility to study the filiation of the edition process. This study is combined with a textual criticism of the material, beginning with a comprehensive biography from the author and finishing with the questioning of the French origin.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.006

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 head0.015
GPT teacher head0.306
Teacher spread0.291 · 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
GenreEmpirical

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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueActa Periodica DuellatorumSame topicPhysical education and sports games researchFrench-language works237,207