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Record W2314874008 · doi:10.7870/cjcmh-2007-0029

Community Restructuring and the Emotional and Social Health of Youth: A Study of a Small Coastal Community in Newfoundland, Canada

2007· article· en· W2314874008 on OpenAlexafffundvenueabout
Lois Jackson, Susan Tirone, Catherine Donovan, Rob Hood

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsThompson Rivers UniversityMemorial University of NewfoundlandDalhousie University
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsRestructuringFocus groupEconomic restructuringPerceptionQualitative researchSocioeconomicsPsychologySociologyPolitical scienceEconomic growthSocial scienceEconomics

Abstract

fetched live from OpenAlex

This paper presents findings from a qualitative study which examined the health implications of community restructuring (social, economic, environmental, and industrial change) for youth living in a small coastal community in Newfoundland, Canada. Eleven focus groups with youth ages 13–24 (n = 74) were conducted to obtain their perceptions on the impacts of the community restructuring that has occurred since the 1992 cod moratorium. Researcher observations over 5 visits were also part of the methodology. From the perspective of youth, significant losses have occurred within the community that have negatively affected their emotional and social health. At the same time, some aspects of the community have been relatively untouched by the changes and are reported to play a positive role in the youth's sense of well-being. However, current trends of youth leaving the community in search of economic stability may rupture these positive ties, which could have far-reaching negative implications as the youth move into adulthood.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.387

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0200.004
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.002
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 head0.077
GPT teacher head0.344
Teacher spread0.267 · 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 designObservational
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

Citations12
Published2007
Admission routes4
Has abstractyes

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