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Record W7016073901

Youth-led Social Entrepreneurship: Enabling Social Change

2010· article· en· W7016073901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTrinity's Access to Research Output (TARA) (Trinity College Dublin) · 2010
Typearticle
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSocial changeSocial positionSocial learningSocial relationSocial philosophySocial engagementSocial policy
DOInot available

Abstract

fetched live from OpenAlex

The types of strategies and tactics a young social entrepreneur may pursue to create social change, as well as the social change they succeed in creating, are impacted by their capacity to deeply engage in traditional decision-making structures. This study considers two youth-led social enterprises, the strategies they pursue (socialization, influence or direct control) and the level of impact they achieve (individual, community/interorganizational, or systemic) and offers a framework of youth-led strategies for creating social change at different scales. The findings also provide insights into the innovative nature of these enterprises; and the implications for those wishing to enable more youth to become social entrepreneurs. \n\nKeywords: Social entrepreneurship, youth leadership, youth-led, social change, systemic change, impact, scale, Sierra Youth Coalition, Apathy is Boring, Canada

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.007
Science and technology studies0.0030.000
Scholarly communication0.0030.002
Open science0.0060.004
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.241
GPT teacher head0.422
Teacher spread0.181 · 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