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Record W6959539256 · doi:10.11575/prism/4248

Constrained conservation: examining legal, policy and organizational obstacles to sage-grouse conservation and recovery in Alberta

2010· other· en· W6959539256 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2010
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Task (project management)AmbiguityResource management (computing)Function (biology)Resource (disambiguation)Management by objectivesConservation psychology

Abstract

fetched live from OpenAlex

Though conservation and recovery requires that science identify the biological constraints and provide suggestions for mitigation, endangered species conservation and recovery is not solely a scientific enterprise. Instead conservation and recovery is a complex management task reliant on a regulatory and institutional context that provides support and integration of conservation objectives alongside alternative resource and land management decisions. This thesis seeks to explore this alternative context considering the legal, policy and organizational dimen ions of the task of conservation and recovery. Using the case study method, this thesis examined the legal, policy and organization constraints to Alberta efforts to conserve and recover the Greater Sage-grouse (Centrocerus urophasianus) in Alberta. Using key-informant interviews, observation, document analysis and literature reviews, this then is considered the coordination of development and conservation considerations within Alberta's land and resource management system. In concluding, this thesis identified specific constraints resulting from legal deficiencies in both tool availability and implementation, policy problems resulting from management ambiguity and conflicting objectives and organizational obstacles resulting from inappropriate and significant departmentalization and segregation of authority. The cumulative effects of these individual issues function to hinder the conservation task. Management recommendations are provided at the close as suggestions for overcoming these existent barriers.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score0.997

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)0.0010.000

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 head0.011
GPT teacher head0.169
Teacher spread0.158 · 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
Published2010
Admission routes1
Has abstractyes

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