Soccer -- Canada versus Mexico, 1961
Bibliographic record
Abstract
6 images. Soccer -- Canada versus Mexico, 30 May 1961. Antonio Zamano; Everado Acebes; Raul Chanes; Tony Crisp; Reno Vilio. (Sleeve reads: SP-12950).; Caption slip reads: "Note: Mexico dark shirts. Photographer: Jensen. Date: 1961-05-30. Assignment: Soccer, Mexico vs. Canada. Special Instructions: Develop 7 minutes. J-1: NG. J2: #3 Mexico stops goal attempt by Canada. 3: #6 Mex #15 Canada. 11: 2 Mex #9 Canada. 12: 3 Mex. 9. 5: 4 Mex 16 Canada".; supplementary material reads: "1 o'clock. [Roster for St. Stephens and San Francisco Scots]. 3 p.m. [roster for] Mexico: Luis Septien, G; Antonio Zamano 2, RB; Everado Acebes 4, LB; Adalberto Heredia 5, RH; Raul Chanes 3, CH; Alfredo de Echevarri 6, LH; Daniel Lopez 7, OR; Armando Carrido 8, IR; Carlos Delabarca 9, CF; Catarino Tafoya 10, IL; Carlos Zapata 11, OL. Westminster Royals: Merv Schweitzer 1, G; Dave Stothard 2, RB; Jim Cowie 3, LB; Bill Nichol 4, RH; Al Green 5, CH; Ron Paton 6, LH; Bob Coyle 7, OR; Stu Crossan 8, IR; Tony Crisp 9, CF; Gogie Stewart 10, IL; Jackie James 11, OL; Buster Cairs 12; Bob Lewis 14, Sub.; Reno Vilio 15".
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 | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.277 | 0.032 |
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".