Report of the Nova Scotia Independent Panel on Hydraulic Fracturing
Bibliographic record
Abstract
On August 28, 2013, the Province of Nova Scotia and the Nova Scotia Department of Energy signed an agreement with the Verschuren Centre for Sustainability in Energy and the Environment at Cape Breton University to conduct an external review on the environmental, socio-economic, and health impacts of hydraulic fracturing. Simultaneously, Dr. David Wheeler, President and Vice Chancellor of Cape Breton University, was asked to convene and Chair the review and expert panel on a voluntary and unpaid basis.1 The mandate for the review was to: create a panel of technical experts based on input from the public and hire technical consultant(s) to facilitate the work of the panel; hire a part-time project administrator; conduct public consultations on the process of hydraulic fracturing with online tools and face-to-face meetings with stakeholders; and conduct a literature review on the health and socio-economic impacts of hydraulic fracturing. These activities would result in a final report to the Government of Nova Scotia with recommendations on the potential of hydraulic fracturing to develop unconventional gas and oil resources in the Province. The scope of work included, but was not limited to, the following areas of research: effects on groundwater - including both water quality and quantity issues; effects on surface water; impacts on land; management of additives to hydraulic fracturing fluids; waste management; site restoration; requirements for hydraulic fracturing design including chemicals used; and the engineered design and financial security considerations that operators are required prior to conducting activity in the Province. The intended outcome for the project was for the Province of Nova Scotia to be able to make an informed decision on the future of hydraulic fracturing activity in Nova Scotia, based on input from technical experts and the public on environmental, health, and socio-economic impacts. The original end date for the review was June 30, 2014, but the deadline was extended until August 31, 2014.
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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 | 0.019 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".