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Record W4388574643 · doi:10.5772/intechopen.113028

Young Canadians’ Desire to Change the World and the Adults Who Support Them

2023· book-chapter· en· W4388574643 on OpenAlexaffabout
Heather L. Lawford, Heather L. Ramey, Yana Berardini, Christa Romaldi, Nishad Khanna

Bibliographic record

VenueEducation and human development · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental HealthStudents CommissionTrent UniversityBrock UniversityBishop's University
Fundersnot available
KeywordsGenerativityPositive Youth DevelopmentContext (archaeology)PsychologyDevelopmental psychologyIdentity (music)Youth studiesSocial psychology

Abstract

fetched live from OpenAlex

Generativity involves care and concern for future generations as a legacy of the self. It is a central developmental task in midlife for both individual well-being, and for a functioning society. As such, opportunities to foster generativity in youth have lasting benefits. There is growing evidence examining correlates of generativity with youth. To date, however, these studies rely mostly on university samples, and are somewhat homogeneous with respect to demographic representation. At the same time, youth engagement supported by adults has also been linked to youth identity development (generally considered a precursor to generativity) and has been identified as a positive feature in youth programs. While youth engagement likely benefits generative development, there is no empirical research to date linking them together. Therefore, in this chapter we present survey findings from over 600 youth of diverse backgrounds, from a community sample, aged 12 to 28 years old, who participated in various youth programs across Canada. Our literature review and research findings highlight the importance of fostering youth generativity and note that youth programming supported by adult allies is a fruitful context for this task.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.305
Teacher spread0.230 · 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.

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
Published2023
Admission routes2
Has abstractyes

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