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Record W4385752027 · doi:10.7189/jogh.13.03047

Pulmonary rehabilitation capacity building through a teach-the-teacher programme: A Malaysian experience

2023· article· en· W4385752027 on OpenAlexaff
Soo Chin Chan, Hooi Chin Beh, Jayakayatri Jeevajothi Nathan, Yasothai Sahadeevan, Julia Patrick Engkasan, Su Yee Chuah, Eu Way Pek, Nurdiana Abdullah, C. K. Wong, Norita Hussein, Anwar Suhaimi, Nik Sherina Hanafi, Fatim Tahirah Mirza, Saari Mohamad Yatim, Hilary Pinnock, Siân William, Ee Ming Khoo

Bibliographic record

VenueJournal of Global Health · 2023
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsCentre for Global Health Research
FundersDepartment of Health and Social CareNational Institute for Health and Care ResearchGovernment of the United Kingdom
KeywordsCapacity buildingPulmonary rehabilitationRehabilitationMedicineMedical educationPedagogyPhysical therapyPsychologyPolitical science

Abstract

fetched live from OpenAlex

CHRONIC RESPIRATORY DISEASES AND PULMONARY REHABILITATION Chronic respiratory diseases (CRDs) are a leading cause of death and hospitalisation in low- and middle-income countries (LMICs) [1], with chronic obstructive pulmonary disease (COPD) being a major contributor to work productivity loss [2]. Pulmonary rehabilitation (PR) is a low-cost therapy that improves symptoms, quality of life, and exercise […]

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.041
GPT teacher head0.392
Teacher spread0.351 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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