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Enregistrement W3062289328 · doi:10.33463/2712-7737.2019.01(1-3).3.212-219

Scientist, mentor, teacher (for the 90th anniversary of Aleksandr Solomonovich Mikhlin’s birth) [16.02.1930–30.10.2007]

2019· article· en· W3062289328 sur OpenAlexaboutno aff
В.И. Селиверстов

Notice bibliographique

RevueInternational penitentiary journal · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLegal and Policy Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChristian ministryPolitical scienceLawEconomic JusticeOrder (exchange)

Résumé

récupéré en direct d'OpenAlex

This article is dedicated to the memory of ScD (Law), Professor, Honored scientist of the RSFSR Aleksandr Solomonovich Mikhlin and to the 90th anniversary of his birth. Aleksandr Solomonovich Mikhlin was born in Moscow on February 16, 1930. In 1951, he graduated from the Moscow law Institute, after which he worked as a legal adviser in the system of the Ministry of Railways. In 1954, he entered the full-time postgraduate course of the All-Union Institute of Legal Sciences of the Ministry of Justice of the USSR. In 1959, he defended his PhD thesis on the topic “Consequences of crime in Soviet criminal law” (under the scientific supervision of a well-known scientist in the field of criminal and correctional labor law, ScD (Law), Professor B. S. Utevskiy). After the defense, he worked for some time as a legal adviser, and in 1962–1965 as a scientific Secretary of the Research Institute of Technology and Chemistry. In 1965 he joined the All-Union Scientific-Research Institute of public order protection at the Ministry of public order of the RSFSR, which later was reorganized into All-Union Scientific Research Institute of the MIA of the USSR (all-Russian Research Institute of the MIA of Russia), where he worked the rest of his life. Since the end of the 60s (with the participation and also under the leadership of A. S. Mikhlin) for 30 years (in 1970, 1975, 1979, 1989, 1994, 1999) the work to prepare and conduct special censuses of convicts was carried out. A huge amount of unique information was obtained on persons sentenced to various punishments, as well as on suspects and accused for committing crimes in custody. Based on the materials of a special census in the late 60s, A. S. Mikhlin began working on his ScD thesis, which was defended in 1974 on the topic “The Identity of convicts sentenced to imprisonment and the problems of their correction and re-education”. After 1997 A. S. Mikhlin became involved in interpretation and explanation of newly adopted legal acts. Under his scientific supervision and direct participation, scientific and practical comments of the Criminal Code of the Russian Federation, the Penal Code of the Russian Federation, the Federal law on detention of suspects and accused for committing crimes, and the Criminal Procedure Code of the Russian Federation were prepared and published. Thematic judicial collections of current decisions of the Plenums of the Supreme Courts of the USSR, the RSFSR, and the Russian Federation, as well as textbooks on criminal law, penal law, and criminal procedure, were very popular. Three editions of the monograph on the death penalty were also published (in Moscow in 1997 and 2000, and in London in 1999, in English). In total, Professor A. S. Mikhlin published more than 550 scientific papers, more than 1000 printed pages, including more than 100 monographs, textbooks, commentaries, manuals on criminal and correctional labor (penal) law in various publications in Russia, the former Soviet Union Republics, as well as in the United States, Great Britain, Canada, Belgium, Romania, Czechoslovakia, Hungary, Germany, and Bulgaria.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,357
Score d'incertitude au seuil0,968

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0330,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,334
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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