Recherche et création sonore: Table ronde
Bibliographic record
Abstract
À l’instar de l’image cinématographique, qui a accompagné l’anthropologie dès le XIXe siècle, le son devient aujourd’hui un outil d’enquête et un mode d’expression vers lequel se tournent de plus en plus de chercheurs et chercheuses en sciences sociales. Mais comment la recherche peut-elle devenir sonore sans perdre sa scientificité ?Et comment, à l’inverse, la création sonore peut-elle s’inspirer des méthodes scientifiques pour inventer d’autres narrations ?À l’occasion du lancement d’un tutorat initiant des chercheuses et chercheurs à l’écriture sonore, proposé par la revue sonore Le Grain des Choses, et de la sortie de La revue Documentaires Un monde sonore, cette table ronde a exploré les espaces de rencontres possibles entre écriture sonore, travail de recherche et espace d’éditorialisation.Une rencontre modérée par Bénédicte Barillé, avec Fanny Dujardin (doctorante en esthétique et théorie des arts, laboratoire PRISM et responsable pédagogique du Master CREADOC), Yves Robic et Claire Gatineau du Grain des Choses, Marie Fierens (Université Libre de Bruxelles), enregistrée le jeudi 2 février 2023 dans le cadre du 19e Festival Longueur d’ondes. http://oufipo.org/recherche-et-creation-sonore/
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.042 | 0.006 |
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".