Creative nostalgia, the structure of feeling of contemporary times
Bibliographic record
Abstract
Proposition d'ouvrage collectif en anglais en cours d'évaluation par l'éditeur américain Cambridge Scholars Publishing sous la direction d'Adrian Scribano (1 auteur, Professeur de sociologie de la Universidad de Buenos Aires), Fabio La Rocca (2 auteur, MDC de Sociologie, UPVM3), Daniela Pomarico (3 auteur, ATER de Sociologie, UPVM3) intitulé : Nostalgia. Contemporary reflections in sociology.Titre du chapitre proposé : Pomarico, D., Creative nostalgia, the structure of feeling of contemporary times.Liste des auteurs : -Préface : Katharina Niemeyer (Directrice du site du CELAT à l'UQAM | Professeure à l'École des médias de l'Université du Québec à Montréal (UQAM).-Emmanuelle Fantin (MDC, Sorbonne-Université (CELSA).-Daniela Pomarico (ATER de Sociologie, UPVM3)-Claudia Attimonelli (MDC de Sociosémiotique et communication, Università degli Studi Aldo Moro di Bari, Italie).-Vincenzo Susca, (Professeur de Sociologie, UPVM3).-Adrian Scribano (Professeur de Sociologie, Universidad de Buenos Aires, CONICET-IIGG-UBA).-Fabio La Rocca (MDC de Sociologie, UPVM3).-Juan A. Roche Cárcel (Professeur de Sociologie, Universidad de Alicante, Espagne).-Maximiliano E. Korstanje (Professeur d’Economie, Universidad de Palermo, Argentine).-Angélica De Sena (CONICET-UNLam / UBA) and Maria Victoria Sordini (CONICET UNDMP), Univerdidad de Buenos Aires, Argentine. -Alexis Sossa (MDC de Sociologie, Pontificia Universidad Católica de Chile, Chili).
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.081 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".