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Record W4381826685 · doi:10.1007/s42448-023-00165-w

Study Protocol: The Arctic Childhood Study: a Study of Violence and Health in Indigenous Sámi and Non-Sámi Children and Youth in Arctic Norway—a Mixed Methods Cohort Study Design

2023· article· en· W4381826685 on OpenAlexaff
Ketil Lenert Hansen, John Fluke, Dionne Gesink, Oddgeir Friborg, Tore Sørlie, Lisa Merkel‐Holguin, Monica Martinussen

Bibliographic record

VenueInternational Journal on Child Maltreatment Research Policy and Practice · 2023
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersKempe FoundationUniversitetet i TromsøChildren's Hospital Colorado
KeywordsArcticNeglectIndigenousPopulationFocus groupNorwegianPoison controlLongitudinal studyMental healthPsychologyGeographyMedicineEnvironmental healthSociologyPsychiatryEcology

Abstract

fetched live from OpenAlex

Abstract Our current knowledge about the health status and developmental process and outcome of Indigenous Sámi children and youths in the high north (Northern Norway, 68 degrees latitude) is scarce. The present longitudinal study, labeled the Arctic Childhood Study, aims to fill major knowledge gaps related to this topic with a special focus on the incidence of violence, abuse, and neglect as well as protective factors. The project will be implemented based on the conceptual framework for Indigenous methodology. The study is highly relevant for the Indigenous population of the Arctic and sub-Arctic regions of Norway as rates of violence are higher as compared to the majority population residing in the same area or farther south. The study applies a mixed methods design that include process evaluations of the pilot study, combines qualitative and quantitative data collection methods, and applies Indigenous collective-informed research. Research activities include a scoping review of abuse and neglect among youth in the Arctic, languages translations of the I-Cast questionnaires, piloting of the Norwegian and Sámi questionnaire packages, and use of focus group discussions. The main study uses a longitudinal cohort study design and school-based surveys in order to explore how relationships between child maltreatment, mental and somatic health, resilience and coping, social, family, and school function, and culturally specific experiences. Participants will be recruited from lower and upper secondary schools in the Arctic and sub-Arctic areas of Norway where the majority of the Indigenous Sámi people lives. The planned participants include adolescents ranging from 12 to 19 years and will follow these individuals every 3 years until age 24. Pending written consent and funding, data will be connected to current national registers. Optionally and pending ethical approval, the study will incorporate the use self-administered, non-invasive buccal swabs in order to collect bio-samples from the participants for genetic analyses and examine genetic mediators related to methylation profiles. The design of the study, the strong focus on Indigenous methodology, the involvement of Sámi youth, and non-Sámi youth is intended to produce new knowledge about the repercussion of violence for the normal development and health status among Sámi and non-Sámi youth in the high north. The study connects individual characteristics with cultural risk and protective factors in order to provide families, advocacy groups, school professionals, the health sector, administrators, and policymakers a more evidence informed basis for initiating early identification and prevention programs in child and adolescent health sectors in Norway. The hope is that the information will provide a better foundation for formulating culturally sensitive prevention strategies aimed at reducing occurrences of violence in Sámi society, and provide new knowledge about factors and mechanisms that may enable more culturally appropriate and effective interventions for use in the Sámi community.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.140
GPT teacher head0.533
Teacher spread0.392 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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