Human-Sled Dog Relations: What Can We Learn from the Stories and Experiences of Mushers?
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
Abstract In this qualitative study, the elements and quality of musher-sled dog relationships were investigated. In-depth interviews with a narrative design were conducted with eight mushers from northern Minnesota and northwestern Ontario. The mushers were asked to contribute ideas by sharing stories and experiences of working with dogs, as well as art or photographs. While all the participants had their own ideas about musher-sled dog relationships, six themes emerged. The mushers stated the importance of getting to know the dogs, their respect for their sled dogs’ abilities, the idea of a two-way communication that takes place, the importance of trust, the notion of partnership, and what can be learned through working with sled dogs. This study supports other research suggesting that humans and animals engage in interspecies relationships and that these can be quality relationships with multiple elements. The importance of researching and teaching about dogs as subjects is discussed, as well as the significance of humans having direct experience with other animals.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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