Understanding policy research in liminal spaces: Think tank responses to diverging principles of legitimacy
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
Research on scientific, social scientific, and technical knowledge is increasingly focused on changes in institutionalized fields, such as the commercialization of university-based knowledge. Much less is known about how organizations produce and promote knowledge in the 'thick boundaries' between fields. In this article, I draw on 53 semi-structured interviews with Canadian think-tank executives, researchers, research fellows, and communication officers to understand how think-tank knowledge work is linked to the liminal spaces between institutionalized fields. First, although think-tank knowledge work has a broadly utilitarian epistemic culture, there are important differences between organizations that see intellectual simplicity and political consistency as the most important marker of credibility, versus those that emphasize inconsistency. A second major difference is between think tanks that argue for the separation of research and communication strategies and those that conflate them from beginning to end, arguably subordinating research to demands from more powerful fields. Finally, think tanks display different degrees of instrumentalism toward the public sphere, with some seeking publicity as an end in itself and others using it as a means to influence elite or public opinion. Together, we can see these differences as responses to diverging principles of legitimacy.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | medium |
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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