Bibliographic record
Abstract
The work of Vancouver-based Métis playwright Marie Clements has often been commended for its emphasis on the connections that inhere among people and places, times and spaces. The time-space conversations of Burning Vision, one of the most spatially and temporally diverse of Clements’s works, have thus far been explained in terms of their ecological and indigenizing effects. While revelations of connectivity and windows opened onto alternate conceptions of spatio-temporality are significant results of the intercultural moments where Clements brings discrete times and places into conversation, it is also useful to acknowledge another, more immediate result of such dialogues: audience confusion, alienation, and disbelief. Such confusion points to a significant but as-yet unaddressed aspect of the Burning Vision: the way the play’s materiality works against its fiction, impeding audience immersion in the story unfolded. This article draws out this conflict through a phenomenological approach that illuminates how the refusal of the work’s material reality to disappear behind its fiction—to slip around the backside of the frontside illusion—prompts a productive kind of disbelief that structurally underlines the work’s arguments for interconnectedness.
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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.068 | 0.077 |
| Scholarly communication | 0.023 | 0.005 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".