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Record W2107578543 · doi:10.1136/jech.2008.082206

Community mobilisation and empowerment for combating a pandemic

2010· letter· en· W2107578543 on OpenAlexafffundabout
Weizhen Dong, Kenneth Fung, K. C. Chan

Bibliographic record

VenueJournal of Epidemiology & Community Health · 2010
Typeletter
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsMount Sinai HospitalToronto Western HospitalUniversity of TorontoUniversity of Waterloo
FundersCanadian Institutes of Health Research
KeywordsMedicinePandemicEmpowermentCoronavirus disease 2019 (COVID-19)Environmental healthEconomic growthPathologyInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

During the Severe Acute Respiratory Syndrome (SARS) outbreak, the Chinese Torontonians rallied behind various community organisations to address their shared concerns. In order to efficiently mobilise both human and material resources in the midst of the public health crisis, the Community Coalition Concerned about SARS was formed on April 14, 2003 shortly after SARS hits Toronto. The Coalition comprised 63 Chinese-Canadian business, community, cultural, religious and professional organisations. Other Asian ethnic groups including Japanese, Korean, Sri Lankan and Filipino, also joined force with the Coalition in its subsequent operations. The community coalitions were able to quickly take action in a number of areas. They included: disseminating SARS related information in Chinese through printed and other forms of ethnic media, fighting against discrimination through advocacy, organising events to support frontline health workers and raise …

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)0.101
metaresearch head score (Gemma)0.036
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1010.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0090.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0040.097
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 head0.345
GPT teacher head0.540
Teacher spread0.195 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations7
Published2010
Admission routes3
Has abstractyes

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