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Record W4389622224 · doi:10.1017/apa.2023.24

Ubuntu in Elephant Communities

2023· article· en· W4389622224 on OpenAlexfundno aff
Birte Wrage, Dennis Papadopoulos, Judith Benz-Schwarzburg

Bibliographic record

VenueJournal of the American Philosophical Association · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsnot available
FundersVeterinärmedizinische Universität WienQueen's UniversityAustrian Science Fund
KeywordsMoralityEnvironmental ethicsSociologyValue (mathematics)CullingAttributionAfrican philosophyPolitical scienceEpistemologySocial psychologyLawEcologyPsychologyBiology

Abstract

fetched live from OpenAlex

Abstract African (Bantu) philosophy conceptualizes morality through ubuntu , which emphasizes the role of community in producing moral agents. This community is characterized by practices that respond to and value interdependence, such as care, cooperation, and respect for elders and ancestral knowledge. While there have been attributions of morality to nonhuman animals in the interdisciplinary animal morality debate, this debate has focused on Western concepts. We argue that the ubuntu conception of morality as a communal practice applies to some nonhuman animals. African elephant communities are highly cooperative and structured around elders; they alloparent, protect their communities, mourn their dead, and pass on cultural knowledge between generations. Identifying these as important moral practices, ubuntu provides a theoretical framework to expand our ethical concern for elephants to their communities. In practice, this will deepen our understanding of the wrongness of atrocities like culling for population management or trophy hunting.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.322
Teacher spread0.281 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2023
Admission routes1
Has abstractyes

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