Bibliographic record
Abstract
Freshwater Fury is Gothic Crime Fiction that recounts crime in Sarnia, Ontario, a community on the south-westernmost tip of Lake Huron. In a town whose existence is entwined with the water, Freshwater Fury paints a metaphor of the shipwrecks in Lake Huron and the Great Lakes Storm of 1913 as reflective of crime in Sarnia to demonstrate how the “storms of life” linger. In Freshwater Fury, Aimee Mors, a research assistant, and Constable Guy Abesse, a disabled police officer, investigate the historic sinking of the SS Wexford after a supernatural experience on Lake Huron brings them together. When historian Dr. Lilith Stone drowns, her death unravels a one-hundred-year-old mystery that pins Aimee and Abesse for her murder. Drawing from Gothic literature’s interest in supernatural realism, Freshwater Fury combats the popular Crime Fiction “Mountie” narrative and Canada’s post-colonial relationship with the law and land, treating crime in Sarnia as a complex and multifaceted issue. In Freshwater Fury, everyone has a hand in societal deprivation.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".