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Record W3176269056

OTTOMAN PUBLIC HEALTH IN THE LAST QUARTER OF THE 19TH CENTURY: SMALLPOX EPIDEMICS IN ISTANBUL AND VACCINATION PRACTICES IN SCHOOLS

2021· article· en· W3176269056 on OpenAlexaboutno aff
Habibe Polat

Bibliographic record

VenueJournal of International Social Research · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicOttoman and Turkish Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSmallpoxQuarter (Canadian coin)Public healthVaccinationContext (archaeology)Plague (disease)MedicineOttoman empireEnvironmental healthPolitical sciencePoliticsHistoryVirologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Epidemic diseases are one of the main threats to the Ottoman Empire in terms of public health, especially from the 18th century to the first quarter of the 19th century. Epidemics such as plague, cholera, malaria and smallpox affected Ottoman subjects in severe, moderate and mild levels at certain periods. In parallel with the epidemic diseases, after the second half of the 19th century, the Ottoman health organization also developed in the context of public health. On the one hand, the Ottoman health system developed as an institution, and on the other hand, it developed in terms of preventive health services based on public health. Of these, smallpox is a common type of smallpox that can cause fatal consequences, especially among children. The only cure for this is vaccination. Considering the risk of transmission among children and the treatment method, vaccination in schools is an important factor in eliminating the disease in the fastest and most effective way. So, vaccination can be done in a healthier and more controlled manner. This study focuses on smallpox and vaccination practices in schools, based on the example of Istanbul.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.191
GPT teacher head0.429
Teacher spread0.238 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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