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Record W2943300565

Exploring Recreation and Sense of Community in the Canadian Military

2019· dissertation· en· W2943300565 on OpenAlexaboutno aff
Hilary Pollock

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2019
Typedissertation
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationSense of placeSense of communityGeographyEnvironmental planningEnvironmental ethicsSociologyPolitical scienceSocial scienceLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Communities across North America are seeing a decline in participation in community services such as recreation. In relation to this decline, a decrease in feelings of community may be occurring as a result. The purpose of this quantitative study was to explore the relationship between recreation and sense of community at a single Canadian Armed Forces base. A total of 148 participants from a single Canadian Army Base completed a questionnaire on recreation participation and sense of community as it relates to military recreation programs and services. T-test and regression analyses were conducted. The sense of community factors, voluntary action, common interest and administrative consideration were significant within the Canadian Armed Forces. Future research should explore sense of community across all Canadian Armed Forces bases to further understand the role of recreation and sense of community across the Canadian Armed Forces and also include other variables (e.g. civilian organizations, leadership) that may contribute to military sense of community.

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 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 score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.230
Teacher spread0.190 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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