Alberta Futbol Club: Promising Talent and Unmet Expectations
Bibliographic record
Abstract
Alberta Futbol Club’s general manger, Henry Thenard, and head coach, Luc Bolton, had a decision to make: keep or trade the recently acquired Loris Guerrero, a goal scorer who was seen as a rising young talent. His previous coaches had described him as immature, so Thenard and Bolton knew this player would require development. However, they were not prepared for a player who appeared apathetic, disregarded team rules, arrived late for team practices and meetings, and performed below his ability. Guerrero also failed to gel with teammates and created tension over team rules and norms. Thenard and Bolton wanted respect and results and were willing to work with Guerrero to get that. However, every attempt to connect with him or to hold him to account fell flat. Finally, when Guerrero failed, once again, to return on time from national team duty, without notifying the team, a decision needed to be made regarding his future at Alberta Futbol Club. Finding another forward as talented as him would be daunting, so letting him go could result in a gaping hole in the roster. However, his negative impact on team morale might be too great to continue fostering him.
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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 | 0.003 | 0.004 |
| 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 | 0.007 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".