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Record W1456796407

Exploring Explore : determining whether students' environmental worldview transforms through an outdoor education program

2010· other· en· W1456796407 on OpenAlexvenueno aff
Andrew D. Young

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2010
Typeother
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental educationOutdoor educationMathematics educationPsychologyPedagogySociology
DOInot available

Abstract

fetched live from OpenAlex

This richly descriptive qualitative study examines the ability of a Grade 11 outdoor education program to transform student environmental worldviews. This exploratory research investigates the current environmental attitudes and beliefs of a random sample of eight graduates of the G. P. Vanier Secondary School Explore program from the years 2003 through 2006. The research also examines the long-term reflections of these graduates on their experiences in the Explore program. This qualitative research utilizes open-ended interviews to ascertain the depth and breadth of the students‟ experiences. Qualitative findings indicate that a reaffirmation, rather than transformation, in environmental attitudes occurs for the participants in this study. The findings of the study corroborate the results of earlier studies on the positive impact of outdoor education programs and support the notion that outdoor education programs can provide a variety of meaningful experiences for their participants.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.988
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.022
GPT teacher head0.252
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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
Published2010
Admission routes1
Has abstractyes

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