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ETHICS BEYOND BORDERS: HOW HEALTH PROFESSIONALS EXPERIENCE ETHICS IN HUMANITARIAN ASSISTANCE AND DEVELOPMENT WORK

2008· article· en· W1973302592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDeveloping World Bioethics · 2008
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsMcGill University
Fundersnot available
KeywordsDistrustWork (physics)Health careHumanitarian aidQualitative researchNursingPublic relationsSociologyMedicinePolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

Health professionals are involved in humanitarian assistance and development work in many regions of the world. They participate in primary health care, immunization campaigns, clinic- and hospital-based care, rehabilitation and feeding programs. In the course of this work, clinicians are frequently exposed to complex ethical issues. This paper examines how health workers experience ethics in the course of humanitarian assistance and development work. A qualitative study was conducted to consider this question. Five core themes emerged from the data, including: tension between respecting local customs and imposing values; obstacles to providing adequate care; differing understandings of health and illness; questions of identity for health workers; and issues of trust and distrust. Recommendations are made for organizational strategies that could help aid agencies support and equip their staff as they respond to ethical issues.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.040
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0090.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.038
Insufficient payload (model declined to judge)0.0000.000

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 head0.387
GPT teacher head0.545
Teacher spread0.158 · 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