Process and Reconciliation: Integrating the Duty to Consult with Environmental Assessment
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
As the duty to consult Aboriginal peoples is operationalized within the frameworks of government decision making, the relevant agencies are increasingly turning to environmental assessment (EA) processes as one of the principal vehicles for carrying out those consultations. This article explores the practical and theoretical dimensions of using EA processes to implement the duty to consult and accommodate. The relationship between EA and the duty to consult has arisen in a number of cases and a clear picture is emerging of the steps that agencies conducting EAs must carry out in order to discharge their constitutional obligations to Aboriginal peoples. The article examines the implementation of the duty to consult through various stages of EA processes, identifying the EA practices that are best able to satisfy the legal requirements and the aspirations of the duty to consult, as well as to identify areas that are likely to present challenges moving forward. The article also considers a broader approach to EA that is more likely to contribute to the overarching goal of reconciliation, arguing that greater attention must be paid to the deliberative and justificatory qualities of EA.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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