MétaCan
Menu
Back to cohort
Record W2173014323 · doi:10.1093/pch/20.6.293

Caring for children, focusing on children

2015· article· en· W2173014323 on OpenAlexaffabout
Ian Mitchell, Juliet Guichon, Sam Wong

Bibliographic record

VenuePaediatrics & Child Health · 2015
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsCanadian Paediatric SocietyUniversity of Calgary
Fundersnot available
KeywordsDistrustMedicineHealth professionalsHumanitiesPolitical scienceFamily medicinePediatricsHealth careLaw

Abstract

fetched live from OpenAlex

Two First Nations girls with leukemia received a significant amount of media attention in 2014 and 2015. In both cases, the parents refused to continue chemotherapy, the only proven effective treatment; they opted instead for a combination of traditional Aboriginal healing approaches and alternative therapies offered in a facility outside of the country. One child has died; the other relapsed and required chemotherapy to avoid death. Media reports were polarized, focusing either on the historical legacy of distrust felt by First Nations people when accessing health care, or the need for child protection services to intervene. One article in the Canadian Medical Association Journal focused on the legacy of mistrust and methods of countering it, but did not address the legal and ethical duties of physicians in such situations. The present commentary describes the events, responsibilities of professionals involved and a course of action for physicians when faced with similar circumstances.

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)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.019
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.053
GPT teacher head0.364
Teacher spread0.311 · 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
GenreEmpirical

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

Citations3
Published2015
Admission routes2
Has abstractyes

Explore more

Same venuePaediatrics & Child HealthSame topicEthics and Legal Issues in Pediatric HealthcareFrench-language works237,207