Sensory ecologies: the refinement of movement and the senses in sport
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
Sport is centrally concerned with the human body. Those concerns focus on how bodies move materially in space and in time. In this article, we develop our concept of “Sensory Ecology” to elucidate how one might come to develop and understand the creation of specialist bodily knowledge found in sport. Sensory ecologies are produced through the refinement of enskilled movement of bodily materials in specific spatial and temporal confines. To understand the embodied knowledge that athletes learn, it is crucial to ensure the connections between a body and its environs, the body-in-the-world affirmed via sensory interactions, and the information generated from those interactions are maintained in any research on embodiment, being-in-the-world, and the self. The body, its senses, and its surrounding environs simply cannot be separated from one another. Therefore, a sensory ecology sits in these intersectional coming-togethers of space, time, and material made manifest through the sensing of bodily movement. Throughout this article, we discuss the material of bodies and their sensing of spatialities and temporalities by arguing that our concept of “Sensory Ecology” provides a means for exploring the cultural specificities of sensing the moving and sporting body in particular and ways of being more generally.
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) | 0.000 | 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