Community mobilisation and empowerment for combating a pandemic
Bibliographic record
Abstract
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 …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.018 | 0.015 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".