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Record W7062172823

Światowe tendencje w zakresie pomocy dla ofiar przestępstw

2017· other· en· W7062172823 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRepozytorium Uniwersytetu im. Adama Mickiewicza (Adam Mickiewicz University in Poznań) · 2017
Typeother
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsRestitutionVictimologyState (computer science)Compensation (psychology)Scope (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Victimology in effect of its few dozens years of history reveals not only theoretical
\nbut also practical achievments. The present article is devoted to a study
\nof world tendencies observed - in that second domain, i.e. in the sphere of offering
\nmateriali aid for crime victims both by a State and society.
\nOn the grounds of accesible world literature the authoress makes an attempt
\nat classifying the present effects of practical directions in victimology (mainly in
\nthe USA, Canada., Australia and some Western European states). Presently one
\ncan speak of three basic aid programs for crime victims, i.e.:
\n1) the compensation program,
\n2) victim-witness assistance program,
\n2) victim restoration program.
\nApart from necessary data on detailed tasks- of the programs the authoress
\nquotes also some additional information on the newest problems of the state compensation
\nfor crime victims, practical effect of the victim-witness assistance and
\nthe use of restitution and other actions directed at the ,re-adaptation of crime
\nvictims. At the conclusion, the world trends in that scope are presented, those
\nwhich manifested themselves at the fore of the VIIth United Nations Congress on
\npreventing crime and proceeding with the victims of crime. (Milan, 1985).

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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