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Record W1599041744

Child-centred disaster risk reduction in Australia : progress, gaps and opportunities

2014· article· en· W1599041744 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

VenueRMIT Research Repository (RMIT University Library) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsDisaster risk reductionProject commissioningResilience (materials science)Variety (cybernetics)PublishingRisk managementEmergency managementPsychological resilienceEnvironmental planningPolitical sciencePublic relationsEconomic growthBusinessGeographyPsychologyFinanceEconomicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

The primary objective of child-centred disaster risk reduction (CC-DRR) is to strengthen children's skills so that they understand the risk of disasters in their communities and are able to play a role in reducing the risks and impacts of potential disasters. Historically, the approaches embodied by CC-DRR have remained on the margins of Australian disaster risk reduction (DRR) policy, research and practice. More recently CC-DRR has been recognised as a valuable component of disaster risk reduction frameworks at the local, regional and national levels and this is reflected in new initiatives in a variety of domains, including disaster resilience education, school emergency management, and community-based programming. This paper provides a progress report on some of these of these initiatives and identifies several gaps and opportunities that are still waiting to addressed. - See more at: https://ajem.infoservices.com.au/items/AJEM-29-01-09#sthash.KH2gPtig.dpuf

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.055
GPT teacher head0.287
Teacher spread0.232 · 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