Recommendations for the collection, analysis, and synthesis of \nfurther economic data to support informed decision-making \nregarding the Lower Churchill River Hydroelectric Project
Bibliographic record
Abstract
In 2009, the Environmental Policy Unit coordinated a joint response from faculty and staff at Memorial University to Nalcor Energy's Environmental Impact Statement (EIS) for its proposed 3,074 MW Lower Churchill Hydroelectric Generation Project in Labrador. \nThe response questioned the assumptions underlying the report's opaque use of the precautionary principle and sustainable development. It also critically examined the approach taken to account for greenhouse gas projections and the need for future hydroelectric capacity. Complicating factors in the EIS were the lack of adequate consultation measures with Aboriginal groups, as well as the lack of transparency in that key documents were unavailable to the public. Lastly, the response was critical of how cumulative effects were determined. Key questions to be answered in relation to these concerns were also included. \n \n
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.254 | 0.501 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.020 | 0.029 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.047 | 0.031 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".