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Record W4404198022 · doi:10.4103/cjrm.cjrm_53_24

President’s Message: Relationships

2024· article· en· W4404198022 on OpenAlexvenueaboutno aff
Gavin Gerard Parker

Bibliographic record

VenueCanadian Journal of Rural Medicine · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

As rural physicians, we understand better than most the importance of relationships in our communities. Many of you are not only compassionate caregivers in your area, but also coaches, mentors, volunteers and business owners. As someone who did not know the privilege of a rural upbringing, my wife Jennifer and I have been overjoyed at the opportunity to raise our children in a welcoming, culturally diverse and supportive community. The SRPC has enjoyed productive relationships with several other organisations that set forth policies impacting rural health. One of the most notable relationships is with the College of Family Physicians of Canada (CFPC). The creation of the rural road map and subsequent implementation plan was an important collaboration between our two organisations. Hundreds of our members benefited from the National Advanced Skills Training Programme highlighting another important joint venture. We were invited to the Education Design Retreat in 2023 and the SRPC perspective was incorporated into the aspects of curricular redesign in family medicine training. Recently, past president Dr. Sarah Lesperance, our COO Jennifer Barr and I have had several opportunities to dialogue with the new CEO of the CFPC, Dr. Mike Allan, President Dr. Mike Green, as well as other CFPC board members. We introduced the concept of our role in ‘rural proofing’, as far upstream as possible, decisions that affect our members and most importantly our communities. These were the first in what will be an on-going commitment to collaborative meetings amongst our organisations. As the leaves were turning your executive was hard at work representing the SRPC at a variety of meetings. We were at the WONCA Rural-Ubuntu 2024 in South Africa in September. The Canadian Medical Association invited us to their Apology to Indigenous peoples in Victoria the same month. October reunited us with our Australian colleagues at Rural Medicine Australia in Garramilla (Darwin). Mini Rural and Remote is back and will take place in Charlottetown, Prince Edward Island, from 29 November 2024 to 1 December 2024. The opportunity to learn and grow alongside these like-minded organisations is a privilege, and your executive will represent you well.

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)0.005
metaresearch head score (Gemma)0.024
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: Editorial · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0080.008
Open science0.0020.003
Research integrity0.0240.043
Insufficient payload (model declined to judge)0.0390.022

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 head0.079
GPT teacher head0.426
Teacher spread0.347 · 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
GenreEditorial

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
Published2024
Admission routes2
Has abstractyes

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