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Record W4360866254 · doi:10.14738/aivp.112.14260

Examining Resilience-Focused Interventions for Rural Populations Experiencing Chronic Stress: A Mixed Methods Systematic Review Protocol

2023· article· en· W4360866254 on OpenAlexaff
Margherita Cameranesi, Gianisa Adisaputri, Philip Jefferies, Michael Ungar

Bibliographic record

VenueEuropean journal of applied sciences · 2023
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDalhousie UniversityUniversity of Manitoba
Fundersnot available
KeywordsPsychological interventionSystematic reviewStressorContext (archaeology)Protocol (science)PsychologyIntervention (counseling)Psychological resilienceMedicineApplied psychologyMEDLINEClinical psychologyAlternative medicinePsychotherapistPsychiatryPolitical science

Abstract

fetched live from OpenAlex

This article describes the protocol of a mixed methods systematic review of resilience-focused interventions for children, youth, and adults exposed to chronic stress in rural contexts that was prospectively registered with PROSPERO (reference number CRD42021292413). The review will be performed using a convergent segregated mixed methods approach within which an intervention review and a qualitative evidence synthesis will be combined, and a results-based convergent synthesis design will be used to synthesize the data extracted from all included studies. The mixed methods systematic review will conform to the guidelines outlined by the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020 statement, which were used to guide the development of this review protocol and reporting of the review findings. Additionally, the Johanne Briggs Institute methodological guidelines for conducting mixed methods reviews using a segregated approach will be implemented throughout the review process. The review will contribute to a better understanding of the available resilience-focused interventions for children, youth, and adults who experience chronic stress in rural contexts by investigating what interventions work for which populations (i.e., children, youth, or adults) in what circumstances (i.e., in the context of exposure to different chronic stressors).

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)0.010
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.551
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.215
GPT teacher head0.522
Teacher spread0.307 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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
Published2023
Admission routes1
Has abstractyes

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