“The quarry proposed by St Marys Cement Inc. for a location near Carlisle, Ontario should not be permitted”: Opponent Brief
Bibliographic record
Abstract
The quarry proposed to extract Amabel formation Dolostone by the St. Marys Cement Inc. near Flamborough, Ontario should be implemented based on the arguments of this paper. The quality of the aggregate material, as well as the quantity that St. Marys Cement Inc. hopes to extract would supply enough building material for all of Ontario for nearly two years. However, the construction of the quarry has been strongly opposed by a local community group, Friends of Rural Communities and the Environment (FORCE). The major concerns raised by FORCE have already been addressed by St. Marys Cement Inc., and any further opposition from the community is either based on misinformation provided by FORCE and/or a “not in my back yard” (NIMBY) mentality. “NIMBY-ism” is a selfish, unjustified hindrance to the process of achieving the most efficient outcome for society, an outcome where the needs of the greater good (in this case, aggregate) are fulfilled. The residents of Flamborough and the surrounding area must acknowledge that they too require aggregate material for their roads, houses, and buildings, and that FORCE’s arguments are not for the community or the environment’s wellbeing, but are a front for a NIMBY mentality.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.027 | 0.016 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".