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Record W3044150521 · doi:10.1515/ijpt-2019-0013

Listening for the Cries of the Earth: Practical Theology in the Anthropocene

2020· article· en· W3044150521 on OpenAlexaff
Pamela R. McCarroll

Bibliographic record

VenueInternational Journal of Practical Theology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAcknowledgementConversationSilenceActive listeningPower (physics)SociologyAnthropoceneEcological crisisField (mathematics)Environmental ethicsRelation (database)EpistemologyTheologyAestheticsPhilosophyComputer science

Abstract

fetched live from OpenAlex

Abstract This paper presents the gap in practical theological research in relation to the devastating effects of the environmental crisis. The paper argues that, because of its silence, the field of practical theology is complicit unwittingly in perpetuating the environmental crisis. The paper identifies three potential causes that predispose the field to fall silent before the enormity of the crisis: 1. The human-centricity of its methodology, telos and theological anthropology; 2. The anthropocentricism of its theology based on dominant Western formulations, and; 3. The power of eco-anxiety to trigger defense mechanisms that foreclose acknowledgement of the crisis. Importantly, the paper also identifies interdisciplinary resources and conversation partners with whom the field of practical theology may re-construct creation-centered pathways forward.

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)0.011
metaresearch head score (Gemma)0.010
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 score0.012
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.086
Scholarly communication0.0120.010
Open science0.0010.009
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.125
GPT teacher head0.469
Teacher spread0.344 · 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

Citations28
Published2020
Admission routes1
Has abstractyes

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