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Record W955604564

Familiesentrert målsetting og evaluering: Bruk av standardiserte og individualiserte instrumenter

2012· article· no· W955604564 on OpenAlexaboutno aff
Bjørg Fallang, Ingvil Øien, Sigrid Østensjø

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2012
Typearticle
Languageno
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Hensikt: Utforske hvordan kartlagte aktivitetsproblemer og funksjoner i individualiserte og standardiserte instrumenter reflekteres i foreldrevalgte mål. Sammenligne hvordan instrumentene fanger opp endring. Design og Metode: En kvantitativ studie av individualiserte og standardiserte instrumenter. Materiale: Tretten barn med cerebral parese (CP), gjennomsnittsalder to år og åtte måneder, som deltok i et familiesentrert habiliteringsprogram. Canadian Occupational Performance Measure (COPM), Goal Attainment Scaling (GAS), Pediatric Evaluation of Disability Inventory (PEDI) og Gross Motor Function Measure (GMFM-66). Resultat: Foreldrene identifiserte 53 aktivitetsproblemer i COPM og 74 mål i GAS, hovedsakelig innen kategoriene personlig stell, mobilitet og lek. Førtifem prosent foreldrevalgte GAS mål samsvarte med problemer i ferdigheter/aktiviteter i COPM og i PEDI, og 26 prosent i GMFM-66. Både individualiserte og standardiserte verktøy viste klinisk viktig endring (p<.002), men ikke positiv korrelasjon. Korrelasjon mellom antall oppnådde mål og forbedret endringsskår varierte for det individuelle barnet. Konklusjon: COPM og PEDI er i større grad enn GMFM reflektert i foreldrevalgte GAS mål. COPM kan ivareta en familiesentrert praksis ved å fremme foreldres identifisering av aktivitetsproblemer. PEDI og GMFM sikrer en standardisert evaluering over tid. Alle instrumentene var sensitive for endring, og lav korrelasjon indikerer at de evaluerer forskjellige aspekter ved motorisk funksjon

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)0.017
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0060.010
Scholarly communication0.0000.003
Open science0.0040.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.082
GPT teacher head0.362
Teacher spread0.280 · 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 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
Published2012
Admission routes1
Has abstractyes

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