Julie Andrée T. : Capsules vidéos : Une bibliographie commentée en temps réel 2019 = Videoclips: An Annotated Bibliography in Real Time 2019
Bibliographic record
Abstract
"Graduate of Studio Arts at Concordia University (2000), and pursuing her doctoral degree in the program Études et pratiques des arts (UQAM), Julie Andrée T. works with performance and installation, situating the body and the space at the very center of her practice. She showed her performances in Europe and Canada, and she had solo exhibitions at Le lieu (Quebec), A Space (Toronto), Articule (Montreal), and Trace (Cardiff). Her practice explores the loss of identity, among other themes, straying from the codes of performance to underscore the graphic dimension of the work. It was with Not Waterproof / L’érosion d’un corps erroné and Rouge, presented at the Festival TransAmériques in 2009, that she found the theatrical vehicle she had been looking for: an installation-performance stemming from a perfect amalgam of graphic materials (body, painting, accessories, costumes, lights…) and sound elements. Regarded as an object, the body is often severely tested." -- Publisher's website.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.089 | 0.039 |
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".