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Record W7093746375

Seksualitet og sosialt arbeid

2017· article· no· W7093746375 on OpenAlexaboutno aff

Bibliographic record

VenueMunin Open Research Archive (The Arctic University of Norway) · 2017
Typearticle
Languageno
FieldSocial Sciences
TopicSocial and Educational Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)GriffinProduct (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

I forhold til den sosialfaglige diskursen om seksualitet gjør universitetslektor i sosialt arbeid Hans Knutagård tre viktige grep med boka Sexualitet och socialt arbete. Det ene er at seksualitet tematiseres. Det andre er at seksualitet ikke behandles som et problem, først og fremst. Det tredje er at Knutagård behandler seksualitet som et anliggende for oss alle, og ikke bare for seksuelle minoriteter. Ved hjelp av disse grepene gir Knutagård et viktig bidrag til at seksualitet kan tematiseres innenfor en hel rekke ulike kurs på sosialarbeiderutdanningene, og ikke bare i kurs som tematiserer seksualitet eller marginalisering og anti-diskriminering.\n Knutagårds bok omhandler noe så sjeldent, i en nordisk kontekst, som seksualitet og sosialt arbeid. Internasjonalt er seksualitet dekket bedre. I England har man en lengre tradisjon i utgivelse av lærebøker om seksualitet og sosialt arbeid, og også i USA, Canada og Australia er seksualitet og sosialt arbeid tematisert i et større omfang enn i den norske og nordiske sosialfaglige diskursen. Dette er den første læreboken i Sverige om seksualitet og sosialt arbeid. Forhåpentligvis bidrar Knutagårds bok til at seksualitet i større grad blir tematisert også i det norske sosialfaglige feltet.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.207
Threshold uncertainty score0.691

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.2070.070

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 head0.203
GPT teacher head0.440
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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