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Record W4309731078 · doi:10.1016/j.cjcpc.2022.11.003

Cé anvi baille ki baille (C’est l’envie de donner qui donne—It Is the Desire to Give That Gives)

2022· editorial· en· W4309731078 on OpenAlexafffund
Nassiba Alami Laroussi, Grégor Andelfinger, Jean‐Luc Bigras, Christine Boutin, M. Brassard, Nagib Dahdah, Anne Fournier, Joaquim Miró, Marie‐Josée Raboisson, Nicolaas van Doesburg

Bibliographic record

VenueCJC Pediatric and Congenital Heart Disease · 2022
Typeeditorial
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
FundersCentre hospitalier universitaire Sainte-Justine
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Bwa pi wo di li wè loin, main graine pwomenain di li wè pi loin passel (The tallest tree says it sees far, but the wandering seed says it sees even farther), a Haitian proverb.The evening of October 19 bid farewell to a great spirit, that of Dr Jean-Claude Fouron (Fig).Jean-Claude the family man, Jean-Claude the physician, the teacher, the scientist.Jean-Claude the passionate advocate and the inspirational teacher.Dr Fouron was a pioneer in fetal cardiology in Qu ebec and across Canada.He attended on children and mothers of children with heart disease at CHU Sainte-Justine, University of Montreal, and was an inspirational leader for many within the medical scientific community for more than 50 years.Throughout his successful career, he has always maintained the ability to adapt to his audience, from medical students to seasoned specialists.He knew how to capture attention, sustain the interest of his audience, and convey his messages with clarity and passion.Similarly, with patients and their families, he knew how to simplify his medical explanations while getting emotionally connected to them.His empathy was such that he was admired by them.For Jean-Claude, teaching has always been a duty, a pleasure, and a privilege that he viewed as a social engagement between the tutor and the pupil.Above all, he was a careful listener and an avid student himself learning from the growing expertise of those he had personally nurtured, those he once called "mes chers enfants!" (My dearest children!).Jean-Claude Fouron obtained his medical degree from the State University of Haiti.A trip planned to be a short stint to Canada during a politically tumultuous time in his country only marked the beginning of a remarkable voyage.After his paediatrics and paediatric cardiology training at CHU Sainte Justine in Montr eal, Jean-Claude spent 2 years with Abraham Rudolf (1965-1967) as a research fellow in fetal and neonatal CJC Pediatric and Congenital Heart Disease 2 (2023) 1e2

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)0.006
metaresearch head score (Gemma)0.023
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: Editorial
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.023
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0030.002
Science and technology studies0.0040.003
Scholarly communication0.0090.005
Open science0.0030.001
Research integrity0.0150.028
Insufficient payload (model declined to judge)0.0250.020

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 head0.019
GPT teacher head0.295
Teacher spread0.276 · 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
Published2022
Admission routes2
Has abstractyes

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