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Record W4316495403 · doi:10.18666/jorel-2023-11632

How Do Outdoor Recreationists Perceive the State of the Environment and Do Interpretive Programs Make a Difference?

2023· article· en· W4316495403 on OpenAlexaffabout
Angela Mallette, Ryan Plummer

Bibliographic record

VenueJournal of Outdoor Recreation Education and Leadership · 2023
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsBrock University
Fundersnot available
KeywordsVisitor patternPerceptionPsychologyInterpretation (philosophy)Applied psychologySurvey instrumentSocial psychologyComputer science

Abstract

fetched live from OpenAlex

Environmental interpretation provides visitors with positive experiences in nature while managing their impacts. Existing research has concentrated on the influence of interpretive programs on visitor knowledge, attitudes, and behaviours. Little empirical research exists on how visitors perceive their environment. In this research we examine the effect of environmental interpretation on visitors’ perceptions of the environment. The study took place in the Niagara Glen Nature Reserve, Canada. A survey is administered to visitors on self-guided experiences and visitors receiving two different interpretive programs. Perceptions are compared to ecological data. Visitors rated conditions higher than ecological data, regardless of participation in an interpretive program. There was no significant influence of an interpretive program on perceptions. Findings from this pilot study highlight the need for interpretive programs to examine their effectiveness of achieving its outcomes as well as the benefits of using a reference such as ecological data.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.072
GPT teacher head0.310
Teacher spread0.238 · 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
Published2023
Admission routes2
Has abstractyes

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