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Record W2605299539 · doi:10.1139/cjss2010-033

Regulatory history of Alberta's industrial land conservation and reclamation program

2012· article· en· W2605299539 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBioOne Complete (BioOne) · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsAlberta Environment and Protected AreasUniversity of Alberta
Fundersnot available
KeywordsLand reclamationEnvironmental scienceEnvironmental protectionGeographyArchaeology

Abstract

fetched live from OpenAlex

Powter, C. B., Chymko, N. R., Dinwoodie, G., Howat, D., Janz, A., Puhlmann, R., Richens, T., Watson, D., Sinton, H., Ball, J. K., Etmanski, A., Patterson, D. B., Brocke, L. K. and Dyer, R. 2012. Regulatory history of Alberta's industrial land conservation and reclamation program. Can. J. Soil Sci. 92: 39-51. Alberta first legislated the requirement to reclaim land disturbed by industrial activities in 1963 with the enactment of the Surface Reclamation Act. In 1973 the Land Surface Conservation and Reclamation Act introduced the concept of conservation and added new regulated industries and an approvals process. In 1993 the Environmental Protection and Enhancement Act linked reclamation and remediation in a single Act. Alberta's industrial land conservation and reclamation program developed over 48 yr from an initial focus on surface debris removal and safety to increasing emphasis on returning ecological function and minimizing cumulative effects. The program has been influenced by various factors, includingregulatory policies and objectives, education and expectations of stakeholders and the public, educational background and expertise of regulators, advances in science, technology and industry practices, type and scale of land disturbances, intended post-reclamation land use, and working with partners. Vigorous discussion and debates on productivity vs. capability, reclamation vs. restoration, reclamation vs. remediation, conservation vs. reclamation, land vs. water and scientific possibilities vs. practical realities have shaped the program's direction. This review will provide insights for other jurisdictions dealing with the need to balance industrial development and environmental protection in the face of growing public awareness and scrutiny.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.371
GPT teacher head0.220
Teacher spread0.151 · 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