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Record W2418454519 · doi:10.1017/s1049023x00043302

Complex Emergencies: Expected and Unexpected Consequences

2001· article· en· W2418454519 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

VenuePrehospital and Disaster Medicine · 2001
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsHealth Sciences CentreEngineers Without Borders CanadaSunnybrook Health Science Centre
Fundersnot available
KeywordsMedical emergencyComputer sciencePsychologyForensic engineeringMedicineEngineering

Abstract

fetched live from OpenAlex

Complex emergencies emerged as a new type of disaster following the end of the Cold War, and have become increasingly common in recent years. Human activity including civil strife, war, and political repression often coexist with and contribute to natural phenomena such as famine. They frequently result in high mortality, population displacement, and the disruption of civil society and its infrastructure. This article reviews the context of recent complex emergencies, and their expected health consequences, such as diarrhea, measles, malnutrition and outbreaks of infectious disease, and the disruption of mechanisms of disease control and surveillance. However, the complex nature of these emergencies also may have unexpected consequences, such as hindering understanding of their causes or limiting the attention paid to them by the public. This paper discusses the context and consequences of complex emergencies from the health standpoint, and explores some of their unexpected effects.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.095
GPT teacher head0.400
Teacher spread0.305 · 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