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Record W2115424747 · doi:10.1037/e634112013-315

The context of resilience among at-risk Bahamian youth

2011· dataset· en· W2115424747 on OpenAlexaff
Giavana Jones, Kathryn D. Lafreniere

Bibliographic record

VenuePsycEXTRA Dataset · 2011
Typedataset
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversity of Windsor
FundersTowson University
KeywordsPsychological resilienceContext (archaeology)Positive Youth DevelopmentResilience (materials science)PsychologyAdaptation (eye)Developmental psychologyGerontologySocial psychologyGeographyMedicine

Abstract

fetched live from OpenAlex

Many children are raised in environments that are not conducive to healthy development, yet grow up to be productive, well-adjusted adults. Resilience is the term used to refer to better than expected outcomes. The purpose of this study was two-fold: first, to identify the challenges that exist to undermine development among youth growing up in urban areas of Nassau, Bahamas, and secondly, to gain a culturally sensitive understanding of positive adaptation or resilience among this group. Additionally, the study sought to identify the positive factors that serve to buffer the effects of the risk factors and ultimately promote resilience. A mixed method approached was utilized for this study; interviews were first conducted with older youth and then Grade 9 and Grade 11 students in two local public schools completed surveys. Relationships with parents and nonparental adults, self-efficacy, and involvement in meaningful activity were the factors that were significant predictors of resilience in this sample of urban Bahamian students.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.038
GPT teacher head0.365
Teacher spread0.327 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2011
Admission routes1
Has abstractyes

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