Technology, Bodily Limits, and Ways of Knowing: Joy Parr Sensing Changes
Bibliographic record
Abstract
This analysis of Joy Parr’s Sensing Changes (2010) connects the central themes of her historical and ethnographic accounts of megaprojects in Canada to broader arguments about the relationship between historically situated bodies and technologies. Much of what is being traced in her case studies is a very local reckoning of how bodies create, employ, and transmit expertise about landscape, be it natural or cultural or both. Her emphasis on the local and her use of ethnography draws the theoretical field of vision downward, challenging both the academic view from nowhere. Agents “on the ground” engaging in everyday activity provide vital clues to the way our bodies function as instruments of knowledge; how the points of contact between sentience and material limit yield social boundaries that are flexible and morally responsive offers an instructive contrast to systems that challenge or transcend such points of contact and threaten sustainability.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.056 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".