Pond hockey dads and climate change: How Canadian fathers feel about the threat of losing the game they love
Bibliographic record
Abstract
This text/video thesis investigates how Canadian fathers feel about the threat of losing pond\nhockey, a revered game they love, to climate change. It responds to the David Suzuki\nFoundation’s (DSF) assertion that under a global ‘business as usual’ rate of producing\ngreenhouse gases, the skating season of the world’s largest ‘rink’--the Rideau Canal--would\nshrink from a nine week historical average to just one week by century’s end (DSF, 2009a).\nSeven outdoor-hockey-loving fathers were interviewed, which revealed their willingness to share\nfeelings of concern, sadness, fear, uncertainty, and need for action to mitigate against and adapt\nto the ill-effects of climate change on this game, and more serious social situations. Despite\nconcerns it was revealed they took few substantial actions against climate change, which they\nrecognized might affect themselves, their children, communities, and future generations.\nConversation, at times nostalgic, helped make these issues more salient.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".