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Record W30874326 · doi:10.1111/1467-9566.12887

Долгосрочная финансовая политика (учебное пособие)

2013· article· en· W30874326 on OpenAlexfundaboutno aff
Н. Н. Симоненко, В. Н. Симоненко

Bibliographic record

VenueМеждународный журнал прикладных и фундаментальных исследований · 2013
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsComputer science

Abstract

fetched live from OpenAlex

With the human papillomavirus (HPV) vaccine positioned as the "right tool" to protect girls' health and sexual health, public discourse positions parents as "responsible" if they vaccinate, "irresponsible" if they do not. The problem with this binary, however, is that it cannot account for the full spectrum of responsibilities and social norms that parents enact in vaccine decisions. In this paper, and in the context of low HPV vaccination rates, I confront this binary and encourage a fuller view of adolescent health and sexual health. Using data from qualitative semi-structured interviews with 28 Canadian mothers tasked with consenting to the HPV vaccine, I examine the complexity of this responsibility. I find HPV vaccine-consenting mothers have normative conceptualisations of responsibility aligned with dominant interpretations of public health. Rather than expressing irresponsibility, some non-HPV vaccine-consenting mothers articulated alternate responsibilities, aligned with broad efforts to manage their teens' sexual health and sexuality. They extend responsibility beyond cancer protection vis-à-vis vaccines to a general responsibility for daughters' sexual health and self-esteem. In conclusion, I recommend the need for a broader public health approach to HPV, which includes, and goes beyond vaccination. Moreover, I suggest that some of these alternate responsibilities be viewed as complementary to vaccination.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.605
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0910.020

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 head0.025
GPT teacher head0.338
Teacher spread0.313 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueМеждународный журнал прикладных и фундаментальных исследованийSame topicCervical Cancer and HPV ResearchFrench-language works237,207