Politika sürecinde karar vermeme: Türkiye’de hpv aşıları konusu.
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
Over the last decade, human papilloma virus (HPV) vaccination emerged as a public health issue, claiming to prevent HPV related diseases, in major advanced capitalist countries such as the US, Canada, and the U.K. Although the inclusion of the HPV vaccine into the expanded immunisation programme (EIP) has been considered many times in Turkey, no development was recorded about the coverage of the vaccine over the years. In this thesis, I explore the underlying reasons of non-decision making in respect to inclusion of HPV vaccine into the EIP in Turkey. To this end, public policy approaches related to the use of power in policy making process are utilised. The non-decision making strategies employed by policy makers are investigated through policy actor interviews and document based analysis. The underlying reasons of non-decision making regarding HPV vaccine has demonstrated similar characteristics to those discussed in developed countries which already have included the vaccine in their national immunisation programmes. The HPV vaccine case in Turkey has been a conspicuous example of the fact that vaccination is not only a protection against prospective diseases. Rather, HPV vaccination debate in Turkey has economic, cultural and political dimensions.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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