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An Examination of Multicultural Awareness and Sensitivity of Recreation, Parks, and Tourism Educators

2005· article· en· W2810206239 on OpenAlexaboutno aff
Nancy J. Gladwell, Charlsena F. Stone

Bibliographic record

VenueSCHOLE A Journal of Leisure Studies and Recreation Education · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationMulticulturalismCultural competenceEthnic groupCompetence (human resources)TourismCultural diversityPerceptionPsychologyMedical educationCultural sensitivityMulticultural educationPedagogySociologyMedicinePolitical scienceSocial psychologyAnthropology

Abstract

fetched live from OpenAlex

It is imperative that colleges and universities become increasingly responsive to cultural differences of students served and that diversity is valued by educators' efforts to meet the needs of culturally diverse students. The purpose of the study was to examine the relationship between demographic and educational profile variables on multicultural awareness and sensitivity levels of recreation, parks, and tourism (RPT) educators. A sample of 131 RPT educators from the United States and Canada participated in this study. Statistical relationships were found between multicultural courses taught and taken, seminars and workshops, years of teaching, age, ethnicity, and perceptions of cultural competence levels among RPT educators. Significant differences were found between the age, sex, levels of education, number of cultural competence workshops attended, self-perception of cultural competence of RPT educators with their multicultural awareness and sensitivity scores. These finding are discussed in terms of pre-service education and in-service training for RPT educators.

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 score0.704
Threshold uncertainty score0.222

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 communication0.0000.001
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 head0.029
GPT teacher head0.313
Teacher spread0.284 · 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
Published2005
Admission routes1
Has abstractyes

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