Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.009 | 0.023 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".