Understanding government Web communication strategy as applied within the Public Health Agency of Canada
Bibliographic record
Abstract
The research examines the components that make up the Web communication strategy of the Public Health Agency of Canada (PHAC). The thesis focuses on the extent to which PHAC's Web site reflects its mandate and implements the Government of Canada's public policies that regulate its Web presence. The Web communication strategy is analyzed from the perspective of Johnson's conceptualization model which separates a discourse into the stages of production, text, and context. The methodology employs content analysis and interviews to illustrate to which extent the democratic rights of the public were taken into account when the Web strategy was elaborated and how the public and PHAC stakeholders benefit from the implementation of this strategy. The research finds that although the general public is considered to be an important audience segment of the PHAC Web site, the emphasis of Web policy is to reinforce health care, education, and government sector stakeholder relationships. Keywords. public health agency, health Web site, Web analytics, communications policy, e-communications, accessibility, stakeholders, government Web.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.020 | 0.020 |
| Scholarly communication | 0.019 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".