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Record W4409728810 · doi:10.63354/cjwoc.v1i1.13595

Message from the Chief Executive Officer

2025· article· en· W4409728810 on OpenAlexaffabout

Bibliographic record

VenueCanadian Journal of Wound Ostomy and Continence · 2025
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsChief executive officerManagementOfficerPsychologyBusinessPublic relationsPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

My Time as the Nurses Specialized in Wound, Ostomy and Continence Canada Chief Executive Officer: Nothing Short of a Privilege It has been a great honour and privilege to be a part of Nurses Specialized in Wound, Ostomy and Continence Canada (NSWOCC) for the past twenty-two years, a part of the International Skin Tear Advisory Panel (ISTAP) for ten years and a part of the Canadian Pressure Injury Advisory Panel (CPIAP) since its launch in 2021. Together, with many extraordinary volunteers and staff members, we have rebuilt, reinvented, strengthened, and modernized our association, our special interest groups and the way wound, ostomy and continence education is delivered. Looking back on my time at NSWOCC, we have confronted seemingly insurmountable business challenges, along with many surprise twists and turns. I’ve seen our teams navigate these hurdles and mountains in ways that have not only made NSWOCC a better association but also made all of us far stronger and closer. We have developed national standards, best practice recommendations, decision aids, achieved CNA certification, participated in research, launched a journal, strengthened opportunities for nurses, worked for better equality of care, built tools that delight our users, focused on improving outcomes for our patients, driven substantial value for our members, and endeavored to make NSWOCC an association where people belong. NSWOCC is a home and a family. As I look back on these achievements, I want to sincerely thank every single member, board director, core program leader and committee member, the staff, academic advisors, volunteers and Industry partners past and present, for your contributions which came in many ways. I’m tremendously grateful for all of the hard work and the many sacrifices you’ve made. We always endeavored to do the right thing for our members, our patients and our association. This has required the most impressive displays of teamwork, innovation, and resilience I’ve ever seen, and working with you has made my time as CEO nothing short of a privilege. I am now passing the baton over to Axelle Pellerin, your new NSWOCC CEO, knowing that NSWOCC is well prepared.

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)0.031
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 score0.099
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0150.022
Insufficient payload (model declined to judge)0.0990.062

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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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
Published2025
Admission routes2
Has abstractyes

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