Bibliographic record
Abstract
Male stripper. Pimp. Drug dealer. Money collector. Professional hockey player. Frank the Animal is the story of a promising young hockey player’s meteoric rise from the depths of the Winnipeg underworld to the pinnacle of professional hockey. As the first-born son of poor Polish immigrants living in Winnipeg, Frank Bialowas rejected his parents’ conservative metric of success and dreamt of making something more of himself. Frank worked hard to become one of Manitoba’s toughest brawlers in junior hockey, but at eighteen-years-old, a local criminal lured Frank into Winnipeg’s seedy underworld because of its promise of fast money and beautiful women. Long before he was nicknamed “the Animal,” Frank Bialowas was better known in his native Winnipeg as Max the Millionaire, the stripper who pimped, sold drugs, and collected money for motorcycle gangs. After serving a stint in a Manitoba jail, Frank’s family convinced him to give hockey one last chance with a minor-pro team in Virginia. Frank reluctantly left behind his life of crime and went on to great success in the American Hockey League, where he became one of Philadelphia’s most iconic bad boys. Despite the success he enjoyed in professional hockey, Frank’s self-destructive tendencies resulted in many devastating setbacks throughout his playing career and personal life. Like other compelling antiheroes, Frank’s talent was limited only by his struggle to maintain selfcontrol.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.858 | 0.794 |
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".