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Record W7093522227

Biocentrism in ethics

2019· article· hr· W7093522227 on OpenAlexaboutno aff

Bibliographic record

VenueODRAZ (University of Zagreb Faculty of Humanities and SocialSciences) · 2019
Typearticle
Languagehr
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsPlanetField (mathematics)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Biocentrizam je u filozofsku etiku ušao razmjerno kasno, u dvadesetom stoljeću, prvenstveno preko djela Fritza Jahra koji je skovao termin 'bio-etika' i po uzoru na Kantov kategorički imperativ formulirao bio-etički imperativ. Ta filozofska pozicija ubrzo je zaboravljena. Pedesetak godina kasnije ponovno su ju formulirali europski filozofi poput Hansa Jonasa i Arnea Næssa, ali i mnogi drugi filozofi, bilo kontinentalnog ili analitičkog kova, svaki na svoj specifični način, a biocentričkom se može smatrati i pozicija Alberta Schweitzera koji je djelovao u isto vrijeme kad i Jahr. Ono svima njima zajedničko jest proširivanje područja etičke refleksije, koja je prethodno uključivala isključivo ljudski rod, na životinje, biljke, ali i Planet u cjelini. Kritika kapitalističkog konzumerizma koji mahnito troši ljudskom rodu zajedničke resurse također čini važan dio biocentričke misli, kao i proširivanje područja odgovornosti s neposredne sadašnjosti na buduće generacije i opće prilike koje će njih zateći zahvaljujući našem sadašnjem odnosu prema životu i Zemlji.

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)0.007
metaresearch head score (Gemma)0.006
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.051
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.053
GPT teacher head0.240
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; 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
Published2019
Admission routes1
Has abstractyes

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