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Record W2400949576 · doi:10.5324/nje.v20i1.1295

Omfanget av seksuelle krenkelser og overgrep i en norsk ungdomsbefolkning

2011· article· en· W2400949576 on OpenAlexaboutno aff
Svein Mossige, Lihong Huang

Bibliographic record

VenueNorsk Epidemiologi · 2011
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsNorwegianSexual abuseGirlQuarter (Canadian coin)PopulationDemographyPsychologyPsychiatryMedicineInjury preventionPoison controlDevelopmental psychologyGeographyMedical emergencySociology

Abstract

fetched live from OpenAlex

The prevalence of sexual offences and abuse within a Norwegian youth population. The aim of this cross-sectional school-based study is to present and discuss the prevalence of sexual abuse within a Norwegian population of young people at the age of 18. Contrary to some earlier Norwegian studies the response rate is fairly high and sexually abuse is more clearly defined. The results are compared with an earlier Norwegian study. A clear gendered pattern can be seen in the data: about a quarter of the young correspondents have experienced sexual offenses, among them 77 percent are girls while 90 per cent of the offenders are males. The same pattern appears in other Nordic studies. Most of the reported sexual offenses towards girls take place when they are in their early teens and the offender is usually a boy some years older, in his teens or early twenties. A sexually offended girl reports more often the use of force or physical violence during the event than an offended boy does. The family is an arena with relatively fewer reported cases of sexually abuse or offences in this study than those of earlier research. We cannot say if this implies a decrease of sexual abuse within the family in Norway but international studies indicate such a tendency in some western countries. To be able to see how the picture of sexual abuse develops in society across time, for instance in a youth population, well prepared prevalence studies should be done within regular time-intervals

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.009

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 head0.097
GPT teacher head0.333
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2011
Admission routes1
Has abstractyes

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