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Record W4293295048 · doi:10.1007/s42322-022-00102-4

Outdoor education in Canadian post-secondary education: common philosophies, goals, and activities

2022· article· en· W4293295048 on OpenAlexafffundabout
Morten Asfeldt, Rebecca J. Purc‐Stephenson, Thomas Zimmerman

Bibliographic record

VenueJournal of Outdoor and Environmental Education · 2022
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCurriculum studiesOutdoor educationSociology of EducationExploratory researchSociologyEnvironmental educationSample (material)PedagogyMedical educationPublic relationsPolitical scienceSocial scienceCurriculumMedicine

Abstract

fetched live from OpenAlex

Abstract Canada has a long history of outdoor education (OE) in sectors including summer camps, K-12, and post-secondary education (PSE). However, previous research has demonstrated that OE is sometimes poorly understood in the PSE sector leading to program closures and limited program development. As a result, scholars have called for national and international collaboration to promote the value of OE including identifying common OE learning outcomes and the theoretical and philosophical underpinnings guiding OE practices. Therefore, the purpose of this study is to identify common philosophies, learning goals, and characteristics of PSE OE in Canada. Results reported here are part of a larger three-phase, exploratory sequential mixed-method project and used a convenience sample of PSE outdoor educators recruited from across Canada. Findings indicate that PSE OE in Canada is influenced by six common philosophies and includes five common learning goals. Overall, this study demonstrates that OE is well aligned with the common goals and missions of PSE in Canada.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.277
Teacher spread0.271 · 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

Citations8
Published2022
Admission routes3
Has abstractyes

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