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Record W7035128396

Způsoby urovnávání vnitrostátních a mezinárodních konfliktů a pojem "transitional justice"

2016· dissertation· en· W7035128396 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2016
Typedissertation
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsVettingHuman rightsTransitional justiceRule of lawPrinciple of legalityInternational lawFundamental rightsDue processCriminal lawInternational human rights law
DOInot available

Abstract

fetched live from OpenAlex

The concept transitional justice refers to a wide range of measures which are applied in times of political and societal transformation. Its starting point is a state of widespread and grave violations of human rights which is typical for undemocratic rules, for times of conflicts including both national and international, but it also existed within some of traditionally democratic countries such as Canada or New Zealand in a form of systematic discrimination against the indigenous population. The target of transitional justice measures is to establish democratic system which protects human rights and fundamental freedoms as a reliable guarantee of sustainable peace. Transitional justice is sometimes considered to fall within measures strengthening the rule of law however some steps such as vetting may temporarily deform the rule of law and equality of citizens before the law which is its integral part. International law regulates transitional justice measures by means of international humanitarian law, international human rights law and international criminal law. International criminal law, or more generally measures of criminal law nature, has been in modern history the primary response to breaches of human rights. Later, other measures were added including those of judicial and non - judicial...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.221
Teacher spread0.215 · 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.

Study designObservational
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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