Bridging Gaps Between Public Health and the Environment: A Policy Evaluation of the Federal Framework on Lyme Disease Act and Related Initiatives
Bibliographic record
Abstract
<p>The need for integration of environmental policy and public health has become ever more evident with the increasing case numbers of Lyme disease, a problem greatly exacerbated by climate change. The purpose of this study was to conduct a policy evaluation of the Federal Framework on Lyme Disease Act (FFLDA) and associated initiatives from an integrated environmental and public health perspective. The chosen methodology was document analysis. This thesis sought to evaluate the significance of the FFLDA for environmental law and to assess stakeholder initiatives and risk communication strategies from an environmental health perspective. This thesis emphasized a locally-oriented policy approach for addressing Lyme disease focused upon citizen science, improved signage, technological tools, and media coverage. Policy recommendations were formulated for Lyme disease management and the progression of the policy goals of the FFLDA. Such recommendations aim to bridge gaps between environmental policy and public health.</p>
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".