What Scientists Say about the Changing Risk Calculation in the Marine Environment under the Harper Government of Canada (2006-2015)
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
This paper examines how the Harper Government of Canada (2006-2015) shut down both debate about threats and research into environmental risk, a strategy that Canadian scientists characterized as the “death of evidence.” Based on interviews with scientists who research risks to the marine environment, we explore the shifting relationship between science and the Canadian government by tracing the change in the mode of risk calculation supported by the Harper administration and the impact of this change. Five themes emerged from the interviews: erosion of science research capacity, resulting limitations in understanding risk, declining influence on policy and regulation, redirection of public science funds to support the private sector, and the need to broaden the science knowledge base. The Canadian death of evidence controversy represents a challenge to science and technology studies (STS) scholars who wish to maintain a critical and reflexive perspective on the scientific enterprise without supporting attacks on evidence. While subsequent Canadian governments may simply return science to an unreflexively privileged knowledge status, we view this as equally damaging to broad risk calculation and democratic science. We suggest instead that a broader gathering of matters of concern will always be essential to risk assessment.
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.
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: yes · About a Canadian topic: yes | Qualitative | low |
| gpt | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Qualitative | high |
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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