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Record W4247263858 · doi:10.24124/2015/bpgub1671

I learn best when surrounded by nature, dogs, and hippies lessons learned from a northern alternative school: an ethnographic study

2015· dissertation· en· W4247263858 on OpenAlexaffabout
Gerald George Quarton

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of VictoriaUniversity of Northern British Columbia
Fundersnot available
KeywordsEthnographyPedagogySense of communityCommunity engagementPsychologyMathematics educationSociologyPolitical scienceSocial psychologyPublic relations

Abstract

fetched live from OpenAlex

The Carcross Community Education Centre (CCEC) was an educational experiment that operated during the 1970's in the Yukon. I was involved in the school as a summer worker, student and parent member. No evaluation of this experiment has been undertaken although various former community members have documented and reflected on the experience. I surveyed 109 former community members to evaluate CCEC's impact, especially on the educational pursuits and careers of former students. Respondents reported that relationships and a sense of community, engagement and authentic learning, opportunities to learn in more hands-on ways, and a supportive environment all contributed to their later success in life, as reflected in high levels of post-secondary education and significant contributions to the adult communities where they live. Implications for current teaching practice include increasing student engagement by providing more hands-on and authentic learning experiences, and a greater focus on teacher-student relationships and the impact of the environments in which students learn. --Leaf ii.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0150.008
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.076
GPT teacher head0.397
Teacher spread0.320 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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