War on Weight: Capturing the Complexities of Weight with Hermeneutics
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
Purpose: In professional practice, body weight issues are typically considered from an individual-level standpoint. In contrast to this dominant perspective, we highlight that body weight has prominent social, economic, and political influences and connotations. An examination of the social complexity of weight provides opportunity to shift focus from individual to societal and structural influences on perceptions of weight. Methods: Seven renowned experts in weight-related issues with at least 10-years-experience in various fields from across Europe, Australia, the United States, and Canada participated in interviews about their professional experience with weight. Interviews were analyzed using hermeneutic methods via an iterative interpretive process. Results: The interviews revealed a battlefield, a war waged on weight. War emerged as an overall metaphor that included aspects of: war on obesity, bodies as battlefields, war camps, war fronts, entrenchment and negotiation and, finally, the phenomenon of “no man’s land.” Conclusions: In many ways, language itself limits us from capturing the complexities of weight. The war metaphor provides a way of understanding the intensity of the firestorm surrounding the construct of weight. New understandings from what we might refer to as veterans of the war on weight offer hope for transformation, not just win or lose, but a hermeneutic wager of possibility.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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