Réception et transmission de l’altérité : quand les technologies sonores servent de modèles à l’écoute des environnements naturels
Bibliographic record
Abstract
Au regard des enjeux environnementaux, le rapport entre nature et technologie est ambigu : d’une part, l’industrialisation catalysée par le capitalisme joue un rôle délétère dans la crise climatique et, d’autre part, la technologie permet de chercher des réponses à cette même crise. Chacune à leur manière, Altamira 2042 (2019) de Gabriela Carneiro da Cunha et Los grillos del sueño (Les grillons du rêve) (2019) de Félix Blume invitent à reconsidérer les rapports entre nature et technologie et la façon dont cette dernière est artistiquement détournée pour permettre une sensibilisation à des espaces naturels en partie inaccessibles. Plutôt que d’opter pour le mode pédagogique de la diffusion de savoirs, de telles pièces placent la technologie sonore au coeur d’une mise en pratique du modèle du recevoir-transmettre développé par Donna J. Haraway (2020 [2016]).
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".