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Record W1849918526 · doi:10.1080/09640568.2015.1063481

An assessment of public engagement for access management planning in southwestern Alberta, Canada

2015· article· en· W1849918526 on OpenAlexafffundabout
Rachelle L. Haddock, Michael S. Quinn

Bibliographic record

VenueJournal of Environmental Planning and Management · 2015
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsMount Royal University
FundersMount Royal University
KeywordsRecreationPublic participationPreferenceDiversity (politics)Public engagementPublic accessPublic relationsBridge (graph theory)The InternetBusinessInternet accessMarketingEnvironmental resource managementPolitical sciencePublic administrationMedicineComputer scienceEconomics

Abstract

fetched live from OpenAlex

This paper describes efforts to bridge the gap between the existing research and proposed recreation access management for public lands in southwestern Alberta, Canada. Recreation access management has been identified as a complex problem and public consultation is one element in addressing the complexity. An Internet-based survey ( n = 945) examined the acceptability and desirability of public consultation processes to assist with access management planning. Non-parametric tests indicate significant differences in desirability of public consultation types existed for all variables except gender. Respondents expressed the desire for a diversity of public consultation approaches with a strong preference for face-to-face field visits. Mechanisms for engagement in access management planning should be based on public consultation preferences to ensure broad, on going engagement and subsequent user acceptance and compliance.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.069
GPT teacher head0.372
Teacher spread0.303 · 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 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

Citations2
Published2015
Admission routes3
Has abstractyes

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