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Record W7099988156

A Brief Guide to International

2016· article· en· W7099988156 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsConventionState (computer science)Government (linguistics)International lawInternational ActionPaternalismInternational human rights law
DOInot available

Abstract

fetched live from OpenAlex

Cet article a it6 h i t en vue de servir de p i d e de prhentation aux dPfenseurs &S droits humains internationaux a j n de leur permettre k dhlopper des stratPgiespour contrer fa violence faite auxfemmes. Les auteureh) croient que les militantes des droits des femmes ont intkrit h dkmystifer les instruments et les mdcanismes disponibles dans le systPme international des droits humains et qu 'elles seront en mesure de donner cette information en faisant un choix kchiri quand il s'agira d'incorporer les nonnes internationales dans leurs statdgies Canada. As a signatory to all the major human rights treaties and conventions, the Canadian government has committed to respecting international human rights ob-ligations. There are two kinds of obligations: negative ones that prohibit government action violating specified rights, and positive obligations that require governments to take proactive steps, exemplified by the Canadian Charter, to ensure and protect the enjoyment of human rights. d 'action. Declarations, treaties, conventions and protocols If one looks at the Women's Convention and other international documents of human rights, every title begins with the word 'States parties', and proceeds to unfold the obligations of the State. As states are the foundation of the international order, this is inescap-able. However, if the state is entrusted with the responsibility of ensuring women's rights, if it is always viewed as active and paternalistic in a benign manner, then this does pose serious questions. Unless these human rights values take root in civil society, and unless civil institutions and NGO'S take up the cause, then women's rights as rights will have no

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.703
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0040.002
Scholarly communication0.0080.010
Open science0.0020.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.2970.210

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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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