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Record W1989087783 · doi:10.1177/0013124507304693

The Academic Resilience and Psychosocial Characteristics of Inner-City English Learners in a Museum-Based School Program

2007· article· en· W1989087783 on OpenAlexaff
Lannie Kanevsky, Michael Corke, Lorri Frangkiser

Bibliographic record

VenueEducation and Urban Society · 2007
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychosocialPsychological resiliencePsychologyNature versus nurtureAcademic achievementInner cityIntervention (counseling)Developmental psychologyIndependence (probability theory)Clinical psychologySocial psychologySociologySocioeconomics

Abstract

fetched live from OpenAlex

School in the Park is a museum-based intervention intended to nurture the resilience of inner-city students in third grade to fifth grade. The academic resilience and personal development of participants were compared to those of nonparticipants for 2 years. Although the groups differed in academic resilience for the duration of the study, they did not differ in their positive self-perceptions of three psychosocial variables (character, self-efficacy, and attitude toward school). The only significant difference between groups was in academic self-concept; program participants' and younger nonparticipants' ratings were stable, whereas those of the older nonparticipants declined. All groups' attitudes toward school declined. The independence of these two sets of measures was an unexpected finding, as they have been highly correlated in the majority of previous studies.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.391
Teacher spread0.373 · 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

Citations33
Published2007
Admission routes1
Has abstractyes

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