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Record W2110675324 · doi:10.22059/ijer.2010.48

The Communication of Disaster Information and Knowledge to Children Using Game Technique: The Disaster Awareness Game (DAG)

2009· article· en· W2110675324 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

VenueTSpace · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsBrandon University
Fundersnot available
KeywordsVulnerability (computing)Reliability (semiconductor)Emergency managementFraternityTheme (computing)PsychologyKnowledge managementComputer securityComputer scienceEngineeringApplied psychologyPolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The specific vulnerability of children and by extension, the need to promote disaster awareness among children as an integral part of disaster risk-reduction strategies is an emergent theme in the disaster management fraternity. The challenge however, is in the design of awarenesspromotion tools that are relevant to and appropriate for the specific learning needs of children. The Disaster Awareness Game (DAG) on which this paper is based has been designed to address this challenge. Preliminary testing of the Game among Caribbean school children suggests that it is appropriate for and effective in rising levels of awareness and consequent behaviour of children in disaster situations. In light of the preliminary nature of these results further testing of the DAG is imperative if confirmation of its reliability is to be obtained.

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)0.001
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 score0.412
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.373
Teacher spread0.351 · 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