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Record W3008284206 · doi:10.1177/0022057420903268

Integrating Leadership Development Into Cross-Age Mentoring Programs

2020· article· en· W3008284206 on OpenAlexaff
Amy Mills-Guest, Carolyn Crippen

Bibliographic record

VenueJournal of Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCLARITYSocial connectednessLeadership developmentEducational leadershipPsychologyMedical educationSocial justicePedagogyPolitical sciencePublic relationsSocial psychologyMedicine

Abstract

fetched live from OpenAlex

In British Columbia (BC), the use of cross-age mentoring programs, commonly referred to as buddy programs, is not systemically evaluated and there are no clear program goals. Although the use of buddy programs is widespread across school districts in BC, research remains scarce regarding both the origins of buddy programs and their purpose. Accordingly, integrating leadership development training for children into existing buddy programs could provide clarity for the use of buddy programs while providing elementary-aged children positive benefits, better equipping them for their professional lives after secondary school. Leadership development training is widely accepted as valuable to the elementary-aged child due to its positive impact on self-esteem, self-efficacy, school connectedness, citizenship, civic efficacy, and sense of social justice.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.183
GPT teacher head0.401
Teacher spread0.218 · 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 teacher head, 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

Citations2
Published2020
Admission routes1
Has abstractyes

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