Bibliographic record
Abstract
Dans cet article, Lisa Marie DiLiberto s’attarde aux défis qu’entraine le fait d’être un artiste professionnel et un parent qui travaille dans les arts de la scène et traite des mesures prises en vue d’améliorer les conditions d’accès à ce secteur. Le texte s’ouvre sur un témoignage au sujet d’instances où DiLiberto s’est fait refuser des occasions professionnelles en raison de ses responsabilités parentales. Elle décrit ensuite des initiatives mises sur pied à l’échelle mondiale pour soutenir les artistes-aidants dans les arts du spectacle et cite différentes réactions à cette question parues dans les médias. Elle présente enfin le projet « Balancing Act », une initiative nationale mise sur pied par Theatre Direct visant à appuyer les artistes-aidants au Canada, et termine avec une réflexion personnelle, livrée à titre d’artiste professionnelle, chercheuse et mère.
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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.063 | 0.013 |
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".