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Record W2287559686 · doi:10.1080/14927713.2015.1074401

The role of tour operators in delivering a Leave No Trace program: a case study of Algonquin Provincial Park

2015· article· en· W2287559686 on OpenAlexaffvenueabout
Lauren J. King

Bibliographic record

VenueLeisure/Loisir · 2015
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsVisitor patternChristian ministryGeographyEnvironmental protectionEnvironmental resource managementEnvironmental planningPolitical scienceEnvironmental science

Abstract

fetched live from OpenAlex

The first State of Ontario’s Protected Area Report identified visitor impacts as one of the known threats to the maintenance of ecological integrity in Ontario’s provincial parks (Ontario Ministry of Natural Resources, 2011b). To mitigate these impacts, Algonquin Provincial Park’s management adopted a Leave No Trace (LNT) program in spring 2011, a precedent-setting decision among provincial parks in Ontario (Algonquin Backcountry Recreationalists, 2011). This study examines what role, if any, tour operators in Algonquin Provincial Park play as delivery agents of an LNT program. Through the use of interviews and participant observation, the findings of this case study reveal that tour guides’ knowledge and use of an LNT program vary significantly. Recommendations to enhance tour operators’ role in delivering an LNT program and their effectiveness as environmental educators are discussed.

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)0.001
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 score0.285
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.030
GPT teacher head0.322
Teacher spread0.292 · 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

Citations3
Published2015
Admission routes3
Has abstractyes

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