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Record W2056207560 · doi:10.1080/14775085.2013.838145

Environmental responsibility: internal motives and customer expectations of a winter sport provider

2013· article· en· W2056207560 on OpenAlexaff
Eric MacIntosh, Nic Apostolis, Matthew Walker

Bibliographic record

VenueJournal of Sport & Tourism · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFraming (construction)Cognitive dissonanceSustainabilityMarketingPublic relationsBusinessAdvertisingPsychologySocial psychologyPolitical scienceGeographyEcology

Abstract

fetched live from OpenAlex

Mountain resorts that offer winter sporting opportunities are facing sustainability issues ranging from public criticisms to the deterioration of the natural environment. To gain perspective on the issue of environmental responsibility (ER) in this particular context, a mixed-method study regarding a single mountain resort was undertaken. The first research phase utilized qualitative methods to examine message framing and motivations for communicating ER to consumers. Findings demonstrate that framing ER was strategically motivated albeit marginally performed. The second research phase employed a scale development approach to investigate the revealed ER effects on consumer attitudes and expectations. Results demonstrated that consumers held moderate levels of environmental awareness and that their behavioral intentions were mildly impacted by the organizations ER initiatives. Overall, the study demonstrated that for organizational employees, framing environmental messages caused dissonance but consumers were influenced by the ER activities.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.994

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.005
GPT teacher head0.233
Teacher spread0.228 · 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

Citations19
Published2013
Admission routes1
Has abstractyes

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