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
Although health surveillance in schools is not a new phenomenon, surveillance has arguably intensified in the contemporary historical moment. As individuals and professional collectivities coalesce around the concern for youth health, surveillant mechanisms proliferate within the educational context. In this article, I critically examine the “Youth Health Survey” (YHS) administered in Manitoba (Canada), to illustrate how youth health is deployed as a mechanism for engaging inter- and intraprofessional knowledge in tightening the biopedagogical discourse surrounding youth health. In Manitoba, these biopedagogical networks and lessons arise from the body data gathered through the surveillant mechanism of the YHS resulting in the formation of public partnerships, resource sharing, and collaborative approaches to intervene in youth lives, both inside and outside the school, forming a “surveillant assemblage” of youth health. Using qualitative data from interview and focus groups with health professionals and education specialists, I illustrate how an ever-tightening web of professional networks invested in shaping the future of youth lives connect through the development and deployment of a health surveillance tool.
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 | 0.006 | 0.114 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it