Implementation of Health 2015 public health program in Finland: a welfare state in transition
Bibliographic record
Abstract
Our study sought to examine the implementation of Health 2015 [a public health programme prepared following the principles of Health in All Policies (HiAP)] between 2001 and 2015 in the context of welfare state restructuring. We used data from the realist multiple explanatory case study by HARMONICS, which focused on political factors (processes) that lead to the (un)successful implementation of programmes following the principles of HiAP. We analyzed data-key informant interviews, grey and scholarly literature-from our Finnish case to examine how Health 2015 implementation has been affected by the changing role of the state. We find that the dismantling of formal funding allocation decreased the capacity of national authorities to exert control over municipalities' health promotion work, diluting the financial arrangements regarding municipal obligations. As a result, most municipalities failed to contribute to Health 2015, resulting in losses for health promotion activities. Our results also point to joining the EU. Whereas the procedures for preparing Finland's unanimous positions on EU matters were useful in harmonizing ideologies on various policy issues between different ministries, joining the EU also increased commercial interests and the strength of the lobby system, leading to the prioritization of economic objectives over public health objectives. Finally, our informants also highlighted the changing relationship between the state and the market, manifested in market deregulation and increasing influence of pro-growth arguments during the implementation of Health 2015.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".