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Record W2904830661 · doi:10.4324/9781315577395-14

Disability Management of Orthopaedic Disorders

2016· book-chapter· en· W2904830661 on OpenAlexaboutno aff
L. Trowitzsch, D. Herbold, Bernhard A. Koch, BIRGIT-CHRISTIANE LEINEWEBER

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

The aim of the pilot project was to provide all those involved employees, employers, occupational physicians, family doctors, specialists, health insurance and pension-fund insurers with a network of medical, psychological, social and occupational professionals to survey performance-challenged employees and to make recommendations for a professional disability management program. The disability management model developed in the 1990s in Canada and Australia after the establishment of the National Institutes of Disability Management and Research (NIDMAR), is finding growing acceptance worldwide. An essential element was a multidisciplinary assessment of the illness/injury/disability using specialist orthopaedics, internal medicine, occupational and social medicine and sports medicine, with an objective demonstration of reduced capacity and function according to the bio-psychosocial criteria of the International Classification of Functioning, Disability and Health (ICF). The FCE test was accompanied by a self-assessment of physical ability, using the spinal function sort-performance assessment and capacity testing (PACT) developed by the Swiss Working Group for Rehabilitation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.001

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 head0.020
GPT teacher head0.277
Teacher spread0.257 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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