Mitigating Mistrust? Participation and Expertise in Hydraulic Fracturing Governance
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
Abstract In Canada's Yukon Territory, a legislative committee was tasked with assessing the risks and benefits of hydraulic fracturing. The committee designed an extensive participatory process involving citizens and experts; however, instead of information access and public hearings fostering an open dialogue and trust, these two channels failed to de‐polarize debates over hydraulic fracturing. We argue that mistrust was reinforced because (1) weak participatory processes undermined the goals of public involvement, (2) scientific evidence and scientists themselves were not accepted as neutral or apolitical, and (3) strategic fostering of mistrust by actors on both sides of a polarized issue intensified existing doubt about the integrity and credibility of the process. The implications of a failure to restore trust in government are significant, not only for the issue of hydraulic fracturing, but for governance more broadly, as mistrust has spillover effects for subsequent public negotiations.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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