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Record W7035900225

Aktív eutanázia vagy asszisztált
\n öngyilkosság? | Active euthanasia, or assisted suicide?

2016· article· hu· W7035900225 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2016
Typearticle
Languagehu
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsStatistical analysisResearch methodologyOccupational accidentPublic health
DOInot available

Abstract

fetched live from OpenAlex

Absztrakt \n Bevezetés: Az aktív eutanázia és az asszisztált öngyilkosság is \n törvényes Hollandiában, Belgiumban, Luxemburgban és legújabban Kanadában is. \n Célkitűzés: Olyan országok vizsgálata, ahol mind az aktív \n eutanázia, mind az asszisztált öngyilkosság törvényes. A vizsgált országokban \n elvégzett aktív eutanáziák, valamint asszisztált öngyilkosságok számának \n alakulása. Módszer: Nemzeti statisztikai adatok elemzése. A \n 2010-es évekre vonatkozó adatok összevetése a korábban mért számadatokkal. Ezek \n alapján a vizsgálat tárgyát képező országok gyakorlatának összehasonlítása. \n Eredmények: Az aktív eutanáziák száma jóval meghaladja az \n asszisztált öngyilkosságok számát. A rák az aktív eutanázia, valamint az \n asszisztált öngyilkosság fő oka. A kisebb lélekszámú országokban arányosan \n kevesebb aktív eutanáziára kerül sor, mint a nagyobb lélekszámú országokban. \n Következtetések: Tekintettel arra, hogy aktív eutanázia \n esetén kevésbé valószínű, hogy a beteg visszalép, mint asszisztált öngyilkosság \n esetén, a betegek – azon országokban, ahol lehet választani – az aktív \n eutanáziát preferálják. A friss jogalkotási termék miatt egyelőre nincsenek \n statisztikai adatok a Kanadában elvégzett aktív eutanáziák és asszisztált \n öngyilkosságok számáról, de a kanadai szabályozás nyomán is kialakul majd \n valamiféle preferencia az aktív eutanázia és az asszisztált öngyilkosság között. \n Orv. Hetil., 2016, 157(40), 1595–1600. \n | \n Abstract \n Introduction: Both active euthanasia and assisted suicide are \n legal in The Netherlands, Belgium, Luxemburg and, most recently, in Canada. \n Aim: Examination of national legislations of countries \n where both active euthanasia and assisted suicide are legal. The number of \n accomplished active euthanasia cases and that of assisted suicide cases. \n Method: Analysis of national statistical data. Comparison \n of statistical data before and after 2010. Comparison of the related practices \n in the surveyed countries. Results: The number of active \n euthanasia cases markedly predominates over the number of assisted suicide \n cases. Cancer is a main reason for active euthanasia, or assisted suicide. In \n countries with a larger population, the number of active euthanasia cases is \n higher than that in countries with a smaller population. \n Conclusions: Regarding the fact that the applicants for \n active euthanasia withdraw their requests in a smaller number than the \n applicants for assisted suicide, patients prefer the choice of active \n euthanasia. Since the related legislative product is too recent in Canada at \n present, it may be only presumed that a certain preference will also develop in \n the related practices in Canada. Orv. Hetil., 2016, 157(40), \n 1595–1600.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0630.012

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 head0.088
GPT teacher head0.280
Teacher spread0.192 · 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 designTheoretical or conceptual
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

Citations0
Published2016
Admission routes1
Has abstractyes

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