Bibliographic record
Abstract
Prior to 2015, Nunavut patients had to travel twice from their remote communities to Iqaluit, and then to Ottawa in order to undergo a joint replacement; once for an assessment and then again for the surgery. Wait time to assessment was eighteen months and the cost of this was $1700 per patient. In 2015, the Regional Hip and Knee Replacement Program of the Champlain Local Health Integration Network (LHIN) began a traveling Total Joint Assessment Clinic (TJAC) to Iqaluit, Nunavut to reduce wait times, and cost for Nunavut residents with hip and knee arthritis. In 2015 the Regional Hip and Knee Replacement Program of the Champlain Local Health Integration Network (LHIN), in collaboration with Ottawa Health Services Network Inc. (OHSNI) partnered to operate a TJAC in Iqaluit, NU. TJAC is a triage clinic for patients with hip or knee arthritis who are potential Joint Replacement candidates. A TJAC team of one Assessor and one Orthopaedic Surgeon travel to Iqaluit, NU three times per year to perform TJAC assessments for Nunavut elders and residents. Each clinic lasts a week. All patients are seen by the TJAC Physiotherapist assessor, and surgical candidates see the surgeon the same day Average wait time to consult has been reduced from eighteen months to seven months. Per patient cost of TJAC visits have been reduced from $1700 to $500. This collaboration between the Regional Hip and Knee Replacement Program and Ottawa Health Services Network has facilitated a more rapid access to hip and knee replacement surgery for Nunavut resident by reducing wait times significantly. It has also reduced the cost per patient for these services. A Central Intake referral service is currently being discussed in order to improve timely access to the appropriate Orthopaedic service for all orthopaedic conditions at each Orthopaedic clinic in Iqaluit.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.002 |
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".