Bibliographic record
Abstract
In Performing Canada: The Nation Enacted in the Imagined Theatre, Alan Filewod sees the categories nation and theatre as examples of Pierre Bourdieu's "structuring structures," those structures that "organize practices and the perception of practices" (I). He notes that these terms "share a slippage of language" that flags a "deeper conceptual intersection where the national imaginary embraces the theatrical imaginary" (x). Such speculation, tied in this case to the construct of nation, is equally compelling when related, say, to the "idea of North" in Canada, as it is by Sherrill E. Grace, or to broader issues of the theatrical genre itself as a "structuring structure" organizing perception. At the base of any such examination of genre and pertormativity are the questions of the splice between the theatrical and the imaginary, of the link between the theatrical and its institutionalization within power.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.027 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".