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Record W175113585 · doi:10.1017/s1049023x00025565

Theme 7. Sharing International Experiences in Disasters: Summary and Action Plan

2001· article· en· W175113585 on OpenAlexaff
Michael Braham, Richard V. Aghababian, R. Andrews, Cher Austin, Ross Brown, Yao Zhong Chen, Zülfi Engindeniz, Roger Girouard, Paul Leaman, Michele Masellis, Shinichi Nakayama, Y.O. Polentsov, Björn‐Ove Suserud

Bibliographic record

VenuePrehospital and Disaster Medicine · 2001
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsVancouver Hospital and Health Sciences Centre
Fundersnot available
KeywordsTheme (computing)Public relationsAction planDecentralizationAction (physics)Plan (archaeology)Identification (biology)Emergency managementPolitical scienceControl (management)BusinessOperations managementOperations researchEngineeringComputer scienceManagementGeographyEconomics

Abstract

fetched live from OpenAlex

INTRODUCTION: The discussions in this theme provided an opportunity to share specific experiences with disasters that occurred outside of the Asia-Pacific Rim. METHODS: Details of the methods used are provided in the preceding paper. The chairs moderated all presentations and produced a summary that was presented to an assembly of all of the delegates. Since the findings from the Theme 7 and Theme 3 groups were similar, the chairs of both groups presided over one workshop that resulted in the generation of a set of action plans that then were reported to the collective group of all delegates. RESULTS: The main points developed during the presentations and discussion included: (1) disaster response planning, (2) predetermined command and organizational structure, (3) rapid response capability, (4) mitigation, and (5) communications and alternatives. DISCUSSION: The action plans presented are in common with those presented by Theme 3, and include: (1) plan disaster responses including the different types, identification of hazards, training based on experiences, and provision of public education; (2) improving coordination and control; (3) maintaining communications assuming infrastructure breakdown; (4) maximizing mitigation through standardized evaluations, creation of a legal framework, and recognition of advocacy and public participation; and (5) providing resources and knowledge through access to existing therapies, using the media, and increasing decentralization of hospital inventories. CONCLUSIONS: Most of the problems that occurred outside the Asia-Pacific rim relative to disaster management are similar to those experienced within it. They should be addressed in common with the rest of the world.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.456

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.096
GPT teacher head0.400
Teacher spread0.304 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2001
Admission routes1
Has abstractyes

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