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International Family Nursing Association: toolkit of resources for caring for refugee/migrating families

2023· article· en· W4381800909 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

VenueRevista da Escola de Enfermagem da USP · 2023
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsRefugeeFamily resilienceNursingPsychological interventionIntervention (counseling)Family caregiversPsychological resilienceFamily reunificationImmigrationMedicinePsychologyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To report the experience of the International Family Nursing Association (IFNA) Practice Committee on developing a Toolkit of resources to care for refugee/migrating families as a response to the global migration and refugee crisis. METHOD: Qualitative and descriptive study, experience report, which describes the development of a toolkit of resources for caring for refugee/migrating families. RESULTS: The development of this Toolkit of resources to care for refugee/migrating families is supported by current literature related to family-centered evaluation and intervention, culturally sensitive practice based on family strengths; statements of positioning on immigrant and refugee families; and nursing and health organizations that addressed the health of the refugee family. CONCLUSIONS: The dissemination of the resources available in the Toolkit can support nursing practices, drive qualified approaches to assessments and interventions, capable of promoting family resilience as they adapt, providing well-being, and leading to the healing of traumas and adversities experienced by families in the process of migration or refuge.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.056
GPT teacher head0.386
Teacher spread0.330 · 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