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Record W2029862209 · doi:10.1080/17441692.2014.923014

Realising the ICPD 20 years later: Shifting the paradigms for research and education

2014· article· en· W2029862209 on OpenAlexaff
Sofia Gruskin, T.K. Sundari Ravindran

Bibliographic record

VenueGlobal Public Health · 2014
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsReproductive healthReproductive rightsHuman rightsSexual and reproductive health and rightsSexual orientationSociologyPolitical scienceEconomic growthGender studiesPopulationLawEconomics

Abstract

fetched live from OpenAlex

The extent to which people can enjoy their sexual and reproductive health is invariably intertwined with issues of disadvantage, inequality and human rights. Increased conservatism, lack of political will, outright resistance and the limited incorporation of human rights norms and standards into sexual and reproductive health policies and programmes are central challenges. Building capacity and skills to understand and address the range of issues raised by sexual and reproductive health and rights is of critical importance. Committed to the principles underlying the ICPD agenda and heavily involved in research and education, with a shared desire to bring global attention to the need for gender- and rights-oriented research and training in sexual and reproductive health, a group of us came together to form the Rights-Oriented Research and Education (RORE) Network for Sexual and Reproductive Health at the end of 2012. To generate dialogue, discussion and action, we propose what we mean by a human rights orientation to sexual and reproductive health and what we believe is needed going forward to achieve a human rights orientation to sexual and reproductive health education and research.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.097
GPT teacher head0.424
Teacher spread0.327 · 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 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
Published2014
Admission routes1
Has abstractyes

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