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Record W2743720422 · doi:10.7728/0601201502

Peace promotion among ethnically diverse youth: Reflection on an agency’s vision

2017· article· en· W2743720422 on OpenAlexaffabout
Monika Allen

Bibliographic record

VenueGlobal Journal of Community Psychology Practice · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPeace and Human Rights Education
Canadian institutionsTrinity Western UniversityUniversity of Calgary
Fundersnot available
KeywordsEthnically diversePromotion (chess)Agency (philosophy)Reflection (computer programming)SociologyPolitical sciencePsychologyPublic relationsEthnic groupSocial scienceComputer scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

Ulrich’s (1983) Critical Systems Heuristics (CSH) is a viable tool for program development and community-based consultation, exemplified in the present reflection based on a consulting project with a youth camp program within a not for profit organization. The goal of the youth camp is to improve intergroup relationships in a Canadian inner city community that has a significant newcomer population. This critique employs CSH as a framework for facilitating professional engagement and dialogue among stakeholders. The analysis highlights factors relevant to the youth camp and more broadly discusses the role of utilizing CSH in community psychology practice.

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)0.029
metaresearch head score (Gemma)0.021
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 score0.029
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.019
Scholarly communication0.0090.008
Open science0.0030.015
Research integrity0.0060.017
Insufficient payload (model declined to judge)0.0020.000

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 head0.239
GPT teacher head0.540
Teacher spread0.301 · 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
Published2017
Admission routes2
Has abstractyes

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