MétaCan
Menu
Back to cohort
Record W2106124558 · doi:10.1177/0044118x03257030

A Constructionist Discourse on Resilience

2004· article· en· W2106124558 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.

Bibliographic record

VenueYouth & Society · 2004
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsStrict constructionismCausality (physics)Construct (python library)SociologySocial constructionismPerspective (graphical)Resilience (materials science)Psychological interventionInterpretation (philosophy)PsychologyPsychological resilienceNarrativeSocial psychologyEpistemologySocial scienceComputer science

Abstract

fetched live from OpenAlex

An ecological approach to the study of resilience, informed by Systems Theory and emphasizing predictable relationships between risk and protective factors, circular causality, and transactional processes, is inadequate to account for the diversity of people’s experiences of resilience. In contrast, a constructionist interpretation of resilience reflects a postmodern understanding of the construct that better accounts for cultural and contextual differences in how resilience is expressed by individuals, families, and communities. Research supporting this approach has demonstrated a nonsystemic, nonhierarchical relationship between risk and protective factors that is characteristically chaotic, complex, relative, and contextual. This article critically reviews research findings that support an ecological perspective and explores the emerging literature that informs a constructionist approach to the study of resilience. It will show that an alternate constructionist discourse on resilience greatly enhances our understanding of resilience-related phenomena and our approach to interventions with at-risk youth populations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.337
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.384
Teacher spread0.357 · 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