Erasing the Social from Social Science: The Intellectual Costs of Boundary-Work and the Canadian Institute of Health Research
Bibliographic record
Abstract
In 2009, Canadian social science research funding underwent a transition. Social science health-research was shifted from the Social Science and Humanities Research Council (SSHRC) to the Canadian Institute of Health Research (CIHR), an agency previously dominated by natural and medical science. This paper examines the role of health-research funding structures in legitimizing and/or delimiting what counts as ‘good’ social science health research. Engaging Gieryn’s (1983) notion of ‘boundary-work’ and interviews with qualitative social science graduate students, it investigates how applicants developed proposals for CIHR. Findings show that despite claiming to be interdisciplinary, the practical mechanisms through which CIHR funding is distributed reinforce rigid boundaries of what counts as legitimate health research. These boundaries are reinforced by applicants who felt pressure to prioritize what they perceived was what funders wanted (accommodating natural-science research culture), resulting in erased, elided, and disguised social science theories and methods common for ‘good social science.’
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.
How this classification was reachedexpand
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 | 0.048 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.011 | 0.028 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".