Identifying and critically examining government legislation relevant to children's dental caries in Calgary, Alberta, Canada: a health inequities lens
Bibliographic record
Abstract
OBJECTIVES: Children's dental caries is an important and urgent public health concern that is largely preventable. Using a social equity framework, our objectives were to identify and critically examine government legislation relevant to the issue of children's dental health in Calgary, Alberta, Canada. METHODS: We conducted a systematic, gray literature search of federal, provincial (Alberta), and municipal (Calgary) statutes and bylaws related to children's dental caries, through the relevant law databases. Eligibility criteria were applied for document screening and selection. Data extraction and synthesis pertained to objectives of the legislation (policy task), relevant agent or actor (level of government), and upstream or downstream focus, in terms of potential impact on social inequities in health. RESULTS: Legislation (n = 114) was retrieved and grouped into eight policy tasks. Most legislation fit under the policy tasks: protection of public safety and health promotion (n = 40) and benefits and compensation (n = 27). Federal and provincial governments have greater involvement in children's dental caries than municipal (Calgary) government. The majority of legislation was classified as upstream in orientation (e.g., improving living and working conditions; macro-level policies). CONCLUSIONS: Analysis of legislation relevant to children's dental caries reveals policies that are more often upstream in nature, and unsurprisingly are multijurisdictional. Despite this, there remains a high prevalence and inequitable distribution of children's dental caries in Canada. This suggests that the nature of upstream involvement and fragmented government involvement is ineffective in tackling this pervasive and urgent public health issue. Implications for children's dental health are discussed.
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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 | 0.053 | 0.108 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.057 | 0.063 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".