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Record W1983177544 · doi:10.1177/1045159513499551

Greening the Net Generation

2013· article· en· W1983177544 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdult Learning · 2013
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransformative learningVariety (cybernetics)PsychologyAdult educationMental healthExperiential learningNatural (archaeology)Learning environmentWildernessPedagogySociologyGeographyComputer scienceEcology

Abstract

fetched live from OpenAlex

Adult learning today takes place primarily within walled classrooms or in other indoor settings, and often in front of various types of digital screens. As adults have adopted the digital technologies and indoor lifestyle attributed to the so-called Net Generation, we have become detached from contact with the natural world outdoors. As a result, many of us are beginning to experience a variety of often debilitating physical, emotional, and mental health problems. At the same time, recent adult education scholarship shows the benefits of restorative, natural experiences in the outdoors, their contribution to adult learning and positive effects on our emotional, physical, and mental health. This paper identifies two themes in outdoor learning for adults: (a) cultural, spiritual, and transformative learning in natural settings and (b) survival, group, and leadership learning in the wilderness. It then offers suggestions for integrating digital technology into outdoor adult learning and offers conceptual parallels to thinking and activities in the digital world in relation to adult learning.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.003

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 head0.019
GPT teacher head0.306
Teacher spread0.287 · 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