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Record W1570738336

The Failed Reform of Ontario's Mining Laws

2011· article· en· W1570738336 on OpenAlexaffabout
Bruce Pardy, Annette Stoehr

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsLegislationDiscretionGovernment (linguistics)VetoDutyJurisdictionBusinessModernization theoryLawFunction (biology)Property rightsPolitical sciencePublic administrationLaw and economicsPoliticsEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Ontario government’s recent modernization of mining laws falls short of genuine reform. Recent amendments have left untouched the Mining Act’s central function of facilitating mining at the expense of other legitimate interests. In the south and near-north of the province, the continuation of the free entry system gives priority to the pursuit of mineral rights over the property rights of surface and neighboring owners. The Crown’s duty of consultation with Aboriginal peoples is being twisted into a burden for mining companies, and under the Far North Act, into an effective veto for Aboriginal interests over mining development. The environmental rules that apply to mineral development are scattered and complicated, and the standards that apply to the rehabilitation of mining sites are lax. Instead of establishing rules for mining that are general, equal and certain, the legislation gives government officials broad discretion over mining policy. Much of the substance of the legislation is delegated to the regulations.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.231
Threshold uncertainty score0.891

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0180.010
Scholarly communication0.0090.002
Open science0.0030.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.009
GPT teacher head0.177
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2011
Admission routes2
Has abstractyes

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