La Nuit Juste Avant les Forêts: Le Lieu Théâtral Comme Espace D'interaction
Bibliographic record
Abstract
My response as a spectator to La Nuit juste avant les forêts, presented on February 26th, 1999 in an old boarding house on Ontario Street East in Montreal, has drawn my attention to the impact the theatre venue has on the reception of a performance and most particularly on the spectator's perception. But how does one approach the interrelation among the venue, the spectator and the work presented? How does one speak about what happens to the spectator as he comes in contact with the environment implicated during the representation of a theatrical work? I propose here to study what "I' as spectator have experienced by adopting the following axis: the gaze the spectator lays on the elements that the architect, as well as the author, the conceivers and the actors have put in place to create the theatrical representation. The goal is to show the effect of the environment – considered as a physical space and as a community – on the perception of the spectator and how he acts, in his turn, on what he has retained of the representation. In order to do this, the action of the spectator will be described in terms of the passage he makes through the spaces – concrete and abstract, exterior and interior – he traverses successively to arrive at the chosen representation and to reintegrate the exterior space and his own interior intimate space after the performance.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.023 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".