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Record W2620759577

Accountability, Conservation and Community: Measuring the Local Economic Impacts of Protected Areas

2017· article· en· W2620759577 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Economic Development and Planning
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityEnvironmental resource managementEnvironmental planningGeographyBusinessPolitical scienceEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

As a signatory to the Convention on Biological Diversity, Canada has committed to help protect biodiversity through an increase in effectively and equitably managed systems of protected areas (PAs) by 2020. If Canada fulfills this commitment, the country will see the largest expansion of PA networks in its history. Although employing ‘equitable and effective management’ suggests PAs have a responsibility to consider their effects on local stakeholders, on the whole, Canada’s PA agencies do not publicly and systematically report on their jurisdictions’ local economic impacts. To address this gap, this thesis aims investigate mechanisms for PA agencies to identify and consider ecological-economic intersections within their regions, in order to inform approaches for PA managers to conduct community consultations related to their impacts. Twenty-seven participants from municipalities in the Riding Mountain Biosphere Reserve used mapping activities, surveys and interviews to identify features they perceived to economically impact their area and wellbeing. Participants reported that tourism and agriculture were important to the economic fabric of the region; that activities involving wildlife (i.e. fishing and wildlife viewing) and the region’s cultural diversity helped generate local tourism; and that Riding Mountain National Park’s management decisions had varying effects, but tended to hold greater benefits for jurisdictions closer to the park’s central administration. The results underscored the importance of approaching stakeholder relationships geographically, since the impacts of decisions made by PA managers are felt differently among locals depending on their location around the PA boundary. To maintain constructive relationships between PAs and their local stakeholders, it is recommended that PA administrations undertake systematic community ii consultations accompanied by subsequent self-reporting. It is further recommended that efforts be made to incorporate maps into community consultation processes.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.260
Teacher spread0.218 · 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