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Record W4378449604 · doi:10.16995/dscn.9512

Title Pending 9512

2023· article· fr· W4378449604 on OpenAlexvenueno aff

Bibliographic record

VenueDigital Studies / Le champ numérique · 2023
Typearticle
Languagefr
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipConstruct (python library)Field (mathematics)CitationBridge (graph theory)Style (visual arts)Class (philosophy)HistoryComputer scienceData scienceLibrary scienceArchaeologyArtificial intelligencePolitical science

Abstract

fetched live from OpenAlex

<strong>This is an accepted article with a DOI pre-assigned that is not yet published.</strong> <p class="MsoNormal"><span style="font-size: 14px;">Mapping fields using co-citation information is a common endeavor in many disciplines, but has rarely been performed in the humanities. In this article, I use data from 417 back-of-cook index locorums to map the field of ancient Mediterranean religion on three levels: sub-discipline, ancient work and references in ancient works. The method innovatively makes use of primary texts references, rather than research articles, to construct the co-citation network. After mapping the overall relationships between sub-disciplines, I show how the data can be used to identify two types of ancient works which bridge these sub-disciplines: works which are central for the whole network and works which are so central but nevertheless are cited more often with specific sub-disciplines. The article provides an understanding of the structure of the specific field, and more generally on the challenges and advantages of methods to map scholarship in historical disciplines.&nbsp;</span><br>

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.669
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.023

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 head0.095
GPT teacher head0.387
Teacher spread0.292 · 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 teacher head, 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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