A Conversation with Sara Lee Lewis: Celebrating Nova Scotia's Mermaid Theatre
Bibliographic record
Abstract
Resume: Dans cette entrevue accordee en novembre 1996, Hilary Thompson et Sara Lee Lewis font le bilan des vingt-cinq annees d'activite de leur compagnie, le Mermaid Theatre de la Nouvelle-Ecosse. Cette troupe a, d'une part, toujours favorise la creativite chez les jeunes a l'echelle locale et, d'autre part, oeuvre a l'etablissement et a la diffusion d'un repertoire de theâtre canadien pour la jeunesse. Summary: In this retrospective interview which took place in November 1996, Hilary Thompson and Sara Lee Lewis, Managing Director and Co-Founder of Mermaid Theatre of Nova Scotia, discuss the company's history and mandate, as well as issues such as funding, repertory, and the controversial question of cultural appropriation Now in its twenty-fifth season, Mermaid Theatre makes its home in Windsor, at the gateway to Nova Scotia's rural Annapolis Valley. The Theatre's focus is two-fold. On the one hand, Mermaid's activist and outspoken Youth theatre program is intensely local, having as its objective the encouragement of creative self-expression among the region's adolescents At the other end of the spectrum is the Theatre's energetic touring theatre for family audiences, which has won international acclaim for original multimedia productions with a strong emphasis on puppetry.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".