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Record W7132911688

Evaluation of self-report measure of physical function in adolescents with malignant bone tumours

2005· dissertation· W7132911688 on OpenAlexaboutno aff
P Pakulis

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)Measure (data warehouse)Scale (ratio)SarcomaPhysical examinationAsk priceBone tumours
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this thesis was to determine if the Activities Scale for Kids (ASK) was a sensible, reliable and valid measure of physical functioning in adolescent bone tumour patients. Results indicated that although the ASK summary data demonstrated reliability and preliminary validity, there were item-level issues identified, such as a high not applicable (NA) rate and a large number of subject comments requiring recoding. An exploratory objective of the study compared the ASK and the Toronto Extremity Salvage Score (TESS), a measure commonly used with adult sarcoma patients. This comparison revealed similar summary score distributions and trends in validity and there was a high correlation between the two measures. However, the TESS had fewer NA responses and did not elicit comments that required interpretation and recoding. Therefore, the TESS may be the best starting point for content examination and potential modification for use in adolescent bone tumour patients.

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)0.003
metaresearch head score (Gemma)0.012
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.359
Teacher spread0.326 · 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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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