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Record W4230324674 · doi:10.24124/2014/bpgub1657

Addressing chlamydia in middle aged and older women in rural and northern British Columbia

2014· dissertation· en· W4230324674 on OpenAlexaffabout
Leona Christine Smith

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsVancouver Island UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsChlamydiaMedicinePelvic inflammatory diseasePrimary careFamily medicineHuman immunodeficiency virus (HIV)GynecologyGerontologySexually activeMiddle ageInternal medicineImmunology

Abstract

fetched live from OpenAlex

The purpose of this literature review is to identify the ways in which nurse practitioners working in primary care can incorporate sexually transmitted infection (STI) screening as part of the well woman examination, especially among middle-aged and older women and Aboriginal women, in order to prevent long-term complications of undiagnosed STIs, such as pelvic inflammatory disease (PID) and an increased risk of acquiring HIV. An integrative literature review revealed that there is an abundance of research about STI screening for women under the age of 25. However, there is limited research about STI screening, prevention, and treatment among sexually active middle-aged and older women. Primary care providers can conduct screening and prevention practices for chlamydia and other STIs by normalizing STI screening with a nonjudgmental attitude. All primary care providers need further education about the increasing rates of chlamydia and other STIs in middle-aged and older women. --Leaf ii.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.278
Threshold uncertainty score0.559

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.019
GPT teacher head0.279
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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
Published2014
Admission routes2
Has abstractyes

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