Bibliographic record
Abstract
Set in the Northern Ontario city of Sault Ste. Marie, the novella Rule of Seconds is a semi-autobiographical fiction that interlaces a city’s and a family’s history through storytelling, family lore, hearsay, medical accounts, newspaper clippings, and other archival materials. The disjunctive narrative weaves together stories about the troubled relationships of four generations of women with Ukrainian backgrounds. Rule of Seconds spans from the early 1920s, through Prohibition, to the present. The narrator-protagonist, a member of the fourth generation, pieces together surprising facts about her family history. The novella is a story of self-discovery, acceptance, and remembrance. It depicts the socio-economic struggles of the working-class men and women who populate the small Northern Ontario city. Rule of Seconds raises questions about why we do not have a consensus over what has happened in the past, as suggested by the subtitle of the novella, “The way the past unfolded depended upon who told it.” The novella is open-ended, raising epistemological questions about what we choose to believe, and why we make such choices.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".