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Record W2553144487

THE RIGHT TO WORK FOR HIV PATIENT IN TUNISIAN LEGISLATION

2016· article· en· W2553144487 on OpenAlexaff
Akrem Jalel

Bibliographic record

VenueRePEc: Research Papers in Economics · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLegislationObligationInterpretation (philosophy)Action (physics)LawPolitical scienceWork (physics)Law and economicsBalance (ability)Communicable diseaseBusinessSociologyMedicinePublic healthEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

With this study, we want to support the idea that even in the absence of a proper legal system Tunisian AIDS that would govern all the problems posed by this disease, the interpretation of existing texts can lead to adequate solutions to the problem of AIDS This not to mention the fact that in a particular case, we have a special law (the 1992 Law on communicable diseases). However, the introduction of new AIDS-specific laws have the advantage of finding solutions to balance on the one hand, between the rights of HIV positive and AIDS patients by guaranteeing the protection of human rights, respect for their lives, their liberties and avoid discriminatory action against and stigmatization against them regarding the provision of services and employment, and also the obligation to ensure the same time protection Company against the spread of this epidemic.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.033
GPT teacher head0.320
Teacher spread0.286 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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