MétaCan
Menu
← Back to cohort
Record W7073978575

Commentary on Remond et al.

2013· other· en· W7073978575 on OpenAlexaff

Bibliographic record

VenueUWA Profiles and Research Repository (UWA) · 2013
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsCentre for Global Health Research
Fundersnot available
Keywordsnot available
DOInot available

Abstract

fetched live from OpenAlex

The Australian approach to dealing with acute rheumatic fever (ARF) and rheumatic heart disease (RHD) in Aboriginal and Torres Strait Islander people makes an interesting case study.Prior to the mid-1990s, there had been a few publications, largely based on hospital series or individual community experience that hinted at an enormous issue in remote Aboriginal communities of northern Australia.The year 1996 saw the publication of the first population-based data, from the Northern Territory, documenting the highest rates in the world of ARF and among the highest in the world of RHD, in the Aboriginal population. 1 Simple epidemiological analyses confirmed two obvious factors contributing to these high rates: recurrences represented more than 40% of all ARF episodes (highlighting poor delivery of benzathine penicillin G secondary prophylaxis injections); and approximately 40% of patients with RHD presented with no prior history of ARF (highlighting poor mechanisms to diagnose ARF and enter people into prevention programs in the first place).Researchers at the Menzies School of Health Research worked with colleagues in the NT Department of Health to develop a strategy based on a World Health Organization recipe for RHD control -establishment of register-based RHD control programs.A proposal was made to the Commonwealth Government, some money was cobbled together from various pots, and the Top End RHD Control Program was born in 1997.The story between then and 2009 was one of continuing research linked strongly to service delivery.The NT Control Program expanded to include Central Australia, and the two registers were combined in 2007.This program had many documented successes, particularly the ability to track existing patients, and to ensure the availability of specialist services, including cardiac surgery, to those who need it the most.However, it had trouble tackling the number one priority of control programs -improving delivery of secondary prophylaxis -in a coordinated fashion, for many reasons.Most important among these impediments was the uncertainty of funding from the Commonwealth, meaning that the program staff were not in a position to plan long-term multi-year strategies, because they weren't certain that they would be around from one year to the next.During this period, the momentum for a more national approach gathered steam, still with a strong link to research.The National Heart Foundation and the Cardiac Society of Australia and New Zealand pulled together the major researchers, clinicians and public health practitioners working in ARF/RHD in Australia and New Zealand to produce Australia's first evidence-based guidelines on this topic, published in 2006. 2 This document quickly became the source material for all approaches to ARF/RHD in Australia, and became recognised in many

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)0.019
metaresearch head score (Gemma)0.128
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.068
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.128
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0090.007
Scholarly communication0.0100.008
Open science0.0090.005
Research integrity0.0680.066
Insufficient payload (model declined to judge)0.0330.023

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 head0.027
GPT teacher head0.277
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2013
Admission routes1
Has abstractno

Explore more

Same venueUWA Profiles and Research Repository (UWA)→Same topicGeological and Geochemical Analysis→French-language works237,207→