Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite the benefits community sport can bring to older adults (aged 55+), such as social support, mental, and physical health and fun, national sporting policies tend to focus on young age groups in terms of participation and elite performance, so community sports are often required to align their strategic focus with these policies. Therefore, there are scant (yet emerging) sporting policies, formal sport coaching, and coach education opportunities specific to older adults in countries such as Australia, New Zealand, England, and Canada. This reality poses problems for coaching older adults in community sports. However, there is recent research, particularly in Canada, that reveals the everyday realities of coaching older adults, such as the importance of meeting athlete needs for competition, health and/or fun, developing personal relationships, accounting for age-related changes, and applying adult learning principles to the coaching context. In this chapter, we discuss these factors and offer some strategies to assist those embarking on community sport coaching work with older adults.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.082 | 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 it