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Rätt eller fel? Föräldrars val kring medicinering av barn med ADHD

2013· article· en· W25128757 on OpenAlexfundno aff
Ingrid Albrektsson, Sanna Säker

Bibliographic record

VenueAtherosclerosis · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Educational Sciences
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsPolitical scienceMedicineGynecology

Abstract

fetched live from OpenAlex

Diagnosen ADHD har varit mycket omdiskuterad, dels för att läkare och forskare inte\nhar varit överens om dess patologiska förklaring, behandling eller ens om dess existens\noch detta har fångat författarnas intresse. Syftet är att belysa föräldrars upplevelse och\ninställning till medicinering av sina barn med ADHD. Studien är en litteraturöversikt\nenligt Friberg med analys av sju kvalitativa artiklar. Resultatet presenteras i tre\nhuvudkategorier: Familjen kring det diagnostiserade barnet, Barnet med ADHD och\nAndras åsikter om diagnos/behandling av barnet med ADHD med tillhörande nio\nsubkategorier. I diskussionen tas upp bland annat skillnaden mellan mödrar och fäders\ninställning till ADHD och medicinering och tankar kring anledningar till detta. Vidare\ndiskuteras också påtryckningar föräldrar upplever från andra när det kommer till\nmedicinering av barnet med ADHD samt hur de ser på sitt barns olika symtom och\nperson.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.274
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.2740.130

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 head0.065
GPT teacher head0.321
Teacher spread0.256 · 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 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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