Bibliographic record
Abstract
For some students, the school provides the first opportunity for students to participate in organized sport competition as a learning experience. The Ontario Curriculum 2010- Health and Physical Education, emphasizes that within the context of a healthy school, the health and physical education curriculum provides all students with the skills and strategies they need to participate in a wide variety of physical activities. A supportive school environment will endeavour to provide organized and competitive activities through an interschool sports program. The District School Board of Niagara believes that the elementary interschool athletic program can provide an appropriate level of competition and encourage healthy active participation at the school level. The students should focus on the development of movement competence, positive attitude, sportsmanship and social skills in a safe, non-threatening, and enjoyable setting. As the students grow and their movement skills improve, increased challenges and competition can be provided, including Area and District-wide events. The operating framework and school support for the Elementary Interschool Athletics program is outlined in the D.S.B.N. Elementary Interschool Athletics Resource Manual and the Ontario Safety Guidelines produced by OPHEA. Both documents include guidelines to be followed regarding safety and supervision by teachers as coaches, teachers acting as coach-liaison, and by volunteer coaches. A wide range of sports are offered, however, opportunities vary within the District School Board of Niagara. Some sports (see D.S.B.N. Interschool Athletics Resource Manual) will be centrally organized and supported by the School Support
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.415 | 0.178 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".