Implementing the Indigenous Diabetic Foot Project in the lower gulf of Australia
Bibliographic record
Abstract
North and West Queensland Primary Health Care (NWQPHC) is a division of general practice which provides allied health services to rural and remote north-west Queensland.The area covered by this organisation spans 770 000km2 and has a resident population of approximately 114 000 people.Podiatrists working within this region provide an innovative primary health care model based upon the Ottawa Charter principals.Podiatrists work in a multidisciplinary team and travel to each community every four weeks.Diabetes effects large proportion of the Indigenous population and is responsible for approximately 3000 foot amputations a year.In acknowledgment of this a primary health care initiative was implemented in Normanton located in the Lower Gulf of Australia.This program was run in collaboration with a Queensland Health Podiatrist and was aimed at training Indigenous Health Workers in screening diabetic feet.By implementing the diabetic project Indigenous Health Workers could pre-screen diabetic feet and recognise the risk a client has of developing an ulcer.They could also recognise foot problems that would require medical attention or the treatment of a Podiatrist.By training staff in this field it was hoped that eventually there would a community member always available to address diabetic foot concerns while the Podiatrist is not in the community and it would recognise high risk feet to the Podiatrist attention before any complication could develop.The work shop was run over two days and there were seven Indigenous Health Workers that participated in the course.The Indigenous Health Workers consisted of NWQPHC, Queensland Health and Home and Community Care Staff.There were six females and one
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".