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Record W2724456283

Att leva med långvarig smärta

2000· article· sv· W2724456283 on OpenAlexaboutno aff
Karen Vigen Nygart

Bibliographic record

Venuenot available
Typearticle
Languagesv
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyReligious studies
DOInot available

Abstract

fetched live from OpenAlex

Patienter med langvarig smartproblematik ar en standigt vaxande grupp i samhallet. Det har varit svart for dem att fa sin smarta erkand, vilket har medfort att forskningen inom omradet ar eftersatt jamfort med forskning kring proportionerligt jamforbara sjukdomar. Syftet medstudien var att fokusera pa patientens upplevelse av langvarig smarta och vilka konsekvenser denna har for patientens liv. Litteraturen som granskats och analyserats baseras pa undersokningar fran Sverige, Storbritannien, USA,Tyskland, Nya Zeeland och Canada.Resultatet visade att det for patienter med langvarig smartproblematik, ar viktigt att bade sjukvardspersonal och narstaende tror pa patientens smarta. Patienten kan genom att oka accepterandet och forstaelsen av smartan forbattra sin livskvalitet. Betydelsefullt for bade patient och narstaende ar att anvanda ratt copingstrategier for att hantera smartan. Samtidigt ar det viktigt att hjalpa patienten att bibehalla socialt umgange. Sjukskoterskor kan hjalpa smartpatienter att uppna en kansla av okad halsa genom att anvanda denna kunskap. (Less)

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)0.006
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0750.014

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 head0.040
GPT teacher head0.275
Teacher spread0.235 · 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 designQualitative
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
Published2000
Admission routes1
Has abstractyes

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