Bibliographic record
Abstract
Ce numéro propose une libre exploration - très richement illustrée - de quelques-unes des manières et des raisons dont la littérature orale peut inspirer des créateurs, dessinateurs, peintres, sculpteurs, plasticiens, imagiers. Le voyage conduit aux extrêmes du temps - de la culture magdalénienne aux installations contemporaines d'Annette Messager -, et aux extrêmes de l'espace, du Grand Nord (tambours chamanes ou graphismes inuit) aux tikis des Îles Marquises. Il s'agit de donner à voir et à comprendre comment les systèmes expressifs peuvent s'autonomiser de la parole et entretenir entre eux, et entre eux et la parole, une grande variété de rapports que règle la coutume ou que réinvente l'artiste (peinture kija des aborigènes d'Australie, figurines qui parlent chez les Balega d'Afrique ou verbe tissé des molas du Panama). Ainsi s'étend le périmètre de l'oralité au-delà de son aire sémio-linguistique habituelle et se complexifie, sinon se typifie, la dynamique des interactions entre pratiques langagières et pratiques artistiques. L'ensemble des contributions permettent de prendre une conscience toujours plus colorée de la diversité des ontologies qui organisent nos visions du monde et d'illustrer la beauté du geste créateur quand l'artiste qui a de l'étoffe croise l'étoffe de la parole.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.049 | 0.014 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".