Identity and collaborative strategy in the Canadian HIV/AIDS treatment domain
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
We explore the links between identity and strategy making by drawing upon a case study of a collaborative strategy implemented by community organizations and pharmaceutical companies involved in Canadian HIV/AIDS treatment. In implementing collaborative strategy, our analysis shows that champions engage in identity work that simultaneously involves: identification with their respective constituencies and, specifically, with categories associated with high legitimacy; counter-identification from their respective constituencies by constructing themselves as different from its core members; and dis-identification away from their constituency towards their collaborative partners. We also examine the interactions between champions and other actors involved in the strategic change process to show the limits and tensions involved in such identity work. We conclude with a discussion of the implications for research and practice.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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