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Record W4390988235 · doi:10.1136/bmjgh-2023-014207

Neglected cancer care needs among the nomadic pastoralist communities in sub-Saharan Africa: a call to action

2024· article· en· W4390988235 on OpenAlexaff
Omar Abdihamid, Fidel Rubagumya, Verna Vanderpuye, Haimanot Kasahun Alemu, Abeid Omar, Houda Abdourahman, Nazik Hammad

Bibliographic record

VenueBMJ Global Health · 2024
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPastoralismCall to actionAction (physics)MedicineCancerFamily medicineGeographyNursingSocioeconomicsEnvironmental healthSociologyBusinessLivestock

Abstract

fetched live from OpenAlex

⇒ African nomadic communities have neglected healthcare needs due to their statistical invisibility, inherent migratory lifestyle and their vulnerability to climate change and conflicts.⇒ Cancer care is a significant unmet need among nomads, spanning the entire care continuum, with no existing guidelines, research, or data.This study is the first call to action in sub-Saharan Africa to highlight the challenges of meeting cancer care needs among nomads and to suggest practical solutions.⇒ The recommendations provided in this study can be adapted by countries with nomadic populations to develop, fund, and implement guidelines and interventions for delivering cancer care services to nomads.

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)0.011
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0120.006
Scholarly communication0.0070.007
Open science0.0020.010
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0110.001

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 head0.049
GPT teacher head0.392
Teacher spread0.343 · 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
GenreCommentary

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

Citations1
Published2024
Admission routes1
Has abstractno

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