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Record W2953489248 · doi:10.25316/ir-437

Giving students voices : a design for a youth leadership program at a British Columbia high school

2018· article· en· W2953489248 on OpenAlexaboutno aff
Shelby Calman

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsPedagogyEducational leadershipMathematics educationPolitical sciencePublic relationsMedical educationSociologyPsychologyMedicine

Abstract

fetched live from OpenAlex

The research project described in this thesis entailed the development of a conceptual design for a youth leadership program intended for implementation in an urban British Columbia public secondary school (grades 8-12). The project included elements of a case study with action research and involved an Action Research Team (ART) composed of the author’s colleagues and student researchers. As proposed, the program was intended to align with the new British Columbia Ministry of Education K-12 curriculum and to offer students opportunities to develop leadership attributes and skills relevant to real-world contexts. Recommendations for the implementation of the intended program are based on results from student input and current literature around engaged citizenship building in a school setting. Keywords: Action Research, Case Study, ART, youth leadership, BC Curriculum, 21st Century Learning, BC Core Competencies

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)0.010
metaresearch head score (Gemma)0.006
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 score0.949
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0070.002
Open science0.0040.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.043
GPT teacher head0.266
Teacher spread0.222 · 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
Published2018
Admission routes1
Has abstractyes

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