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Record W7054956876

Assessing stakeholder interests: a strategy for best management practices of free-roaming horses, Chilcotin, British Columbia

2010· dissertation· en· W7054956876 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2010
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCLARITYStakeholderTransparency (behavior)Best practiceWildlife managementStakeholder managementWildlifeSocioeconomic statusNatural resource management
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this research was to assess stakeholder interest pertaining to best management practices for free-roaming horses in the Chilcotin, British Columbia. The study site is located between the towns of Hanceville to the east and Tatla Lake to the west. A case study approach was adopted, utilizing on-site observation, document analysis and semi structured interview methods. Analysis, through the reduction and interpretation of data, allowed for the emergence of the themes and subthemes. Themes were free-roaming horse interaction with both the biophysical and socioeconomic landscape as well as management. British Columbia government, ranchers, First Nations and Non Governmental Organizations were interviewed on their awareness and interaction with free-roaming horses, the management and policies pertaining to the species. Free-roaming horses have historically represented a social and economic resource, although stakeholders have had little input into management decisions. Antiquated policies, clashing social values, changing land title and land use and difficult economic times have resulted in a lack of clarity regarding jurisdiction, and therefore management, for the free-roaming horses. Management goals are not clear due to lack of classification as livestock or wildlife under provincial or federal legislations. A strategy, which promotes decentralization, collaboration and transparency in decision and policy-making is recommended. Multi-stakeholder research is the first step toward creating such a strategy.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score1.000

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 head0.043
GPT teacher head0.251
Teacher spread0.207 · 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.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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