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Record W1987380275 · doi:10.1016/j.ijgo.2015.04.022

The role of obstetrics and gynecology national societies during natural disasters

2015· article· en· W1987380275 on OpenAlexaffabout
André B. Lalonde, Lauré Adrien

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2015
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsMcGill UniversityUniversity of Ottawa
Fundersnot available
KeywordsMedicineNatural disasterObstetrics and gynaecologyMedical emergencyGynecologyPregnancy

Abstract

fetched live from OpenAlex

When a natural disaster occurs, such as an earthquake, floods, or a tsunami, the international response is quick. However, there is no organized strategy in place to address obstetric and gynecological (ob/gyn) emergencies. International organizations and national ob/gyn societies do not have an organized plan and rely on the good will of volunteers. Too often, local specialists are ignored and are not involved in the response. The massive earthquake in Haiti in 2010 exemplifies the lack of coordinated response involving national organizations following the disaster. The Society of Obstetricians and Gynaecologists of Canada (SOGC) engaged rapidly with Haitian colleagues in response to the obstetric and gynecological emergencies. An active strategy is proposed.

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)0.008
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0030.001
Open science0.0010.007
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.033
GPT teacher head0.359
Teacher spread0.326 · 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 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

Citations7
Published2015
Admission routes2
Has abstractyes

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