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Record W2052156633 · doi:10.1177/1356336x14550939

‘The strawberry generation… they are too pampered’

2014· article· en· W2052156633 on OpenAlexaff
Matthew Atencio, Yuen Sze Michelle Tan, Susanna Ho, Chew Ting Ching

Bibliographic record

VenueEuropean Physical Education Review · 2014
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSituatedPedagogyPsychologySituated learningPhysical educationService (business)Service-learningSociology

Abstract

fetched live from OpenAlex

This paper explores pre-service PE teachers’ conceptions of outdoor education (OE) in Singapore. Survey questionnaires were administered to 120 pre-service teachers; 14 teachers participated in follow-up semi-structured interviews. The findings indicate that OE is predominantly situated within the outdoor camp environment. Pre-service teachers regularly envisioned the purpose of OE as to instil a sense of discipline among students and to ameliorate the negative health impacts of an urban and wealthy lifestyle. We propose that the dislocation of OE from local and situated school contexts as well as the instrumental nature of OE pedagogy runs contrary to aims of fostering acquisition of life skills and character development. We concomitantly question how the pre-service teachers’ envisioning of OE can convincingly support holistic learning outcomes deemed beneficial to Singaporean youth and society more broadly.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.364
Teacher spread0.335 · 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 designQualitative
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

Citations14
Published2014
Admission routes1
Has abstractyes

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