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Record W2005902559 · doi:10.2495/dne-v6-n4-254-257

Eschatology, ecology, economics in memory of enzo tiezzi

2011· article· en· W2005902559 on OpenAlexvenueno aff
Herman E. Daly

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEschatologyEcologyComputer scienceGeographyBiologyArchaeology

Abstract

fetched live from OpenAlex

The subject of my essay in honor of our kind friend and colleague, EnzoTiezzi, requires a bit of explanation – not the parts about ecology and economics, which were areas of our common interest and work. But to consider them in the context of eschatology may seem odd. First, Enzo and I never discussed eschatology or theology at all, so I should make it clear that I am not attributing any par-ticular beliefs to him. But he was an honest and thoughtful man, and I regret that I never took the initiative to ask his views on such ultimate questions. The death of a good friend, born in the same year as one’s self, focuses the mind on the doctrine of ‘last things’. So these are my refl ections stimulated by remembrance of Enzo – thoughts I wish I could discuss with him, and argue about, over a bottle of Chianti from his own vineyard in his beloved Sienna. Maybe other friends of Enzo actually had such a conversation with him and will share it. Eschatology is not the most popular fi eld of theology. It deals with last things, the end of time and creation – not something of which we have any experience, so it is more an expression of hope than knowledge. Many Christian theologians believe that our hope, both individual and collective, ulti-mately lies in the New Creation (Rom 8), which will be God’s act at the end of the present creation (Jurgen Moltmann, Richard Bauckham, N.T. Wright, John Polkinghorne). One thing that science

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)0.003
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.008
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.011
Scholarly communication0.0080.006
Open science0.0010.002
Research integrity0.0040.013
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.251
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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