MétaCan
Menu
Back to cohort
Record W2593402247 · doi:10.5539/jpl.v10n2p216

The Study of Human Rights Situation in Iraq During Saddam Hussein Era

2017· article· en· W2593402247 on OpenAlexvenueno aff
Suhair Zadeh Saeed, Esmail Shafiee

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMedical Research and Islamic Perspectives
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsSanctionsChristian ministryPolitical scienceGovernment (linguistics)RulerState (computer science)LawCriminologySociology

Abstract

fetched live from OpenAlex

Human rights are one of the most important issues in Contemporary International Low, that there is a great sensitiveness for the implementation of them. In many countries, some institutes & committees have been considered to follow up the issue or even a ministry as the ministry of human rights has been established. The present paper was discussed the human rights violations in Iraq on Saddam Hussein`s behalf, the current ruler and so, followed the response of the question that “how had been the situation of human rights during the governorship of Saddam Hussein in Iraq?”. The research method was descriptive-analytic. The method of collection is documentary & library information and the methods of analyzing information are describing, analyzing, and also using documents. The results of this study showed that some human rights violation cases have been seen in the government of Saddam Hussein in Iraq such as the pillage of state, forced displacement of Feyli Kurds from Iraq & the killing of them, killing women and children, abduction of women and children, the involvement of people in different wars, lack of social participation of women, economic sanctions, the use of chemical weapons.

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)0.003
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.006
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.329
Teacher spread0.289 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Politics and LawSame topicMedical Research and Islamic PerspectivesFrench-language works237,207