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Record W6961075848 · doi:10.14288/1.0042596

Life of coal mine planning : engaging in land use planning at Luscar and Gregg River mines

2012· article· en· W6961075848 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
Fundersnot available
KeywordsCoal miningLand-use planningWildlifeLand useLand managementRecreationResource (disambiguation)Wildlife refugeThreatened speciesPlan (archaeology)

Abstract

fetched live from OpenAlex

Luscar Mine and Gregg River Mine lease areas are located along the front range of the Rocky Mountains, adjacent to Jasper National Park, Canada. The active mining area has been reclaimed resulting in the reestablishment of the area as part of the home range of wildlife species, including bighorn sheep, elk and provincially threatened species such as grizzly bear and Athabasca rainbow trout. In addition to these prominent species, significant wildlife diversity has emerged and continues to evolve. The Luscar and Gregg River Mines Land Management Plan Working Group was formed to develop a land management plan and consists of membership from Alberta Sustainable Resource Development (ASRD), Teck Resources Ltd., Coal Valley Resources Inc., Alberta Environment and Yellowhead County. The methodology employed for land management planning involved communities, interest groups and the public. The process engaged stakeholders representing a variety of community interests. The process established a vision for the area that would allow for management of the reclaimed habitat and re-colonising populations of wildlife along with reasonable and appropriate human use, thus providing opportunities for interpretation, education, recreation and ecotourism. The process provided an opportunity for collaboration among provincial and local government, industry, stakeholders and the public to explore a more strategic and integrated land management approach to end-land-use planning.

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 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 score0.088
Threshold uncertainty score0.623

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 studies0.0010.000
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 head0.076
GPT teacher head0.251
Teacher spread0.175 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

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