COVID-19 Snapshot Monitoring in Canada (COSMO Canada): Monitoring Citizens’ Perceptions, Knowledge, and Behaviours relating to the Pandemic (Part II)
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.
Bibliographic record
Abstract
From April 2020 to December 2021, Privy Council Office (PCO) led the implementation of the COVID-19 Snapshot Monitoring (COSMO) Study Phase 1 which longitudinally captured respondents’ perceptions, knowledge, and behaviours in response to the pandemic. The COSMO Study Phase 1 was founded on a comprehensive survey developed by the World Health Organization (WHO), released to assist countries in quickly establishing a data collection mechanism to track the evolving response context related to COVID-19 at the citizen-level. It has enabled PCO to contribute evidence-based, behaviourally-informed insights and recommendations to public communication materials, policy and programmatic considerations, and whole-of-government decision-making related to the Government of Canada’s broader response effort. The first phase of the study collected data across sixteen waves spanning April 2020 to November 2021. This protocol details the COSMO Study’s second Phase, which will continue to monitor the evolving pandemic response context with a new sample of Canadians (including a flexible oversample of diverse sub-segments of the population) and a restructured survey body exploring new thematic areas related to reintegration and recovery.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it