Bibliographic record
Abstract
En 2006, Guillaume Grandazzi était Docteur en sociologie et chercheur associé au Laboratoire d’Analyse Sociologique etAnthropologique des Risques (LASAR), Université de Caen, France, et stagiaire post-doctoral au Centrede Recherche et d’Intervention sur le Suicide et l’Euthanasie (CRISE) à l’UQÀM (courriel : g_grandazzi@yahoo.com). /// Les cahiers de la chaire (Université du Québec à Montréal. Chaire de responsabilité sociale et de développement durable). Collection Recherche - Une version de ce texte est publiée en allemand sous le titre suivant : « Die Zukunfterinnern. Gedenken an Tschernobyl » dans : Astrid Sahm, Manfred Sapper, Volker Weichsel(ed.): Tschernobyl. Vermächtnis und Verpflichtung. Berlin (Berliner Wissenschaftsverlag) 2006[Osteuropa 4/2006], pp. 7-18. https://www.zeitschrift-osteuropa.de/hefte/2006/4/die-zukunft-erinnern/ ou https://www.eurozine.com/die-zukunft-erinnern/
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".