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Record W4402992352 · doi:10.7203/metode.15.27784

Reassembling and generating cultural networks

2024· article· en· W4402992352 on OpenAlex
Juan-Luis Suárez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMètode Revista de difusió de la investigació · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsWestern University
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Aquest article proposa un programa d’investigació per a estudiar les xarxes culturals que assumisca el paper d’aquestes en la creació de significat i com a eines adaptatives per als éssers humans i les seues comunitats. En primer lloc, el programa fonamenta l’estudi de les xarxes culturals en la metafísica del procés de Whitehead (1861-1947) i planteja que les xarxes culturals emergeixen durant la creació humana de relacions amb el món dels fenòmens. A continuació, aquest article identifica dos enfocaments per a estudiar les xarxes culturals: reassemblant-les o generant-les. En tercer lloc, contextualitza la importància d’entendre les xarxes culturals en relació amb la consolidació de les humanitats digitals en l’àmbit acadèmic, i la productivitat de les xarxes com a eines per a explorar el fet cultural en les xarxes d’experiència humana. Les observacions finals situen el programa d’investigació proposat en el context de la investigació multidisciplinària sobre analítica cultural.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.325
Teacher spread0.288 · 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