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Record W7165079264

Recidivism among juvenile offenders in the light of the social learning theory

2016· other· pl· W7165079264 on OpenAlexaboutno aff
Jakub Stankiewicz

Bibliographic record

VenueAdam Mickiewicz University Repository (Adam Mickiewicz University in Poznan) · 2016
Typeother
Languagepl
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRecidivismSocial learning theorySocial learningProbably approximately correct learningJuvenile
DOInot available

Abstract

fetched live from OpenAlex

Proces wykolejania społecznego jest jednym z czynników powodujących skłonność do popełniania przestępstw, który najsilniej oddziałuje na młodych ludzi. Tym samym, wpływa on na popełnianie przestępstw przez sprawców młodocianych, a także rzutuje na ich recydywę (powrót do przestępstwa). Wykolejanie społeczne znajduje oparcie w myśli Alberta Bandury, który opracował teorię społecznego uczenia się. Autor uważa, że założenia tej teorii udzielają odpowiedzi na pytanie o przyczynę popełniania przestępstw przez sprawców młodocianych. Artykuł ma za zadanie wykazać przyczyny i skutki wykolejania społecznego. Rozważania zostały zobrazowane danymi statystycznymi, a wywód merytoryczny został potwierdzony badaniami przeprowadzonymi w Zakładzie Karnym w Rawiczu.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.005
Science and technology studies0.0030.005
Scholarly communication0.0000.002
Open science0.0100.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.194
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

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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