Bibliographic record
Abstract
LISTED AS ONE OF THE GLOBE & MAIL'S BEST BOOKS OF 2024 A collection of memories chronicling love, grief, and a life lived on and off stage Raised on a farm and educated in a prairie Bible school, Layne Coleman escapes the confines of his stiflingly religious upbringing at an early age to pursue a life in theatre. He migrates to Saskatoon and later Toronto where he immerses himself in the Bohemian lifestyle of the 1980s theatre scene, carving out a career as a successful actor, playwright, and eventual Artistic Director of the Theatre Passe Muraille. While there, his path intersects with that of his future wife, a captivating and glamorous French-Canadian journalist. Their transformative relationship is ultimately cut short when she tragically loses her life at 48, following a painful battle with cancer. What follows is a raw and bruised account of Coleman’s struggle to make sense of his new identity as a widower and single father. Unfolding through a series of vignettes, Coleman’s memoir takes us into the heart of loss as he wrestles with mental health and addiction while confronting his own mortality and moral compass. Shattering yet hopeful, An Open-Ended Run is an exploration of a life spent in the arts and a man’s search for meaning in the face of grief.
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 | 0.018 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.021 | 0.016 |
| Open science | 0.003 | 0.022 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.110 | 0.061 |
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".