MétaCan
Menu
Back to cohort
Record W6983773719

Non-decision making in policy process: the case of hpv vaccines in Turkey.

2020· dissertation· en· W6983773719 on OpenAlexaboutno aff

Bibliographic record

VenueOpenMETU (Middle East Technical University) · 2020
Typedissertation
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsVaccinationHPV vaccinesPublic healthInclusion (mineral)Cervical cancerVaccination policyImmunizationHuman papillomavirusHealth policy
DOInot available

Abstract

fetched live from OpenAlex

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.329
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueOpenMETU (Middle East Technical University)Same topicHearing Impairment and CommunicationFrench-language works237,207