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LEAD Legacy Projects

2020· book-chapter· en· W3009676274 on OpenAlexaff
Alyssa N. Palazzolo, Dana L. Pizzo

Bibliographic record

VenueAdvances in educational marketing, administration, and leadership book series · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsWork (physics)PedagogyEvent (particle physics)Power (physics)Public relationsPolitical sciencePsychologyMedical educationEngineeringMedicine

Abstract

fetched live from OpenAlex

The L.E.A.D. Program implements two Legacy Projects, annually: Power of Potential Youth Conference and Challenge Cup. Both events are planned, organized, and facilitated by teacher candidates with the goal of engaging in-risk youth in various capacities. Taking place in the fall, the Power of Potential Youth Conference allows local high school students to explore some of their options for life after secondary school through a series of presentations and workshops focusing on Financial Literacy, Healthy Active Living, and Career Exploration. Taking place each spring, Challenge Cup is an outdoor event that fosters leadership, character development, and self-confidence in local secondary students. Students participate in a series of physical activities throughout the day which focus on building team-work, community, and leadership skills. This chapter explores how both L.E.A.D. Legacy Project events support secondary students outside of the classroom. The planning and organization of both events will be explained.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.376
Threshold uncertainty score0.891

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0070.003
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3760.195

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 head0.069
GPT teacher head0.314
Teacher spread0.245 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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