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Record W2934310132 · doi:10.7202/1060952ar

Eco-Tethered Liberation: A New Spirituality for the Anthropocene

2019· article· en· W2934310132 on OpenAlexaffvenue
Simon Appolloni

Bibliographic record

VenueThe Trumpeter · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnthropoceneIndigenousSpiritualityNegotiationLiberationEnvironmental ethicsPopulationSociologyPhilosophySocial scienceEcologyChemistry

Abstract

fetched live from OpenAlex

To counter the Anthropocene epoch marked by complex webs of exploitation, this paper elucidates an ethics of liberation that applies to all of creation replete with its concomitant relational complexities, which the author calls eco-tethered liberation. The paper delineates how we can both understand and actualize the liberation of the whole of creation, which is an invariably messy communal process of dialoguing and negotiating with many others. This paper further explores the concept of sumaq kawsay as an example of eco-tethered liberation being lived out by the largely Indigenous Bolivian population today. The paper culminates in suggesting that this new ethic of liberation for the Anthropocene is itself a new spirituality for the Anthropocene.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.361
Teacher spread0.309 · 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.

Study designNot applicable
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 routes2
Has abstractyes

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