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Record W7038149312

God, Ownership, and Economic Language in the Second Century CE: Irenaeus of Lyon’s "Against Heresies" as a Case Study

2024· book-chapter· en· W7038149312 on OpenAlexfundno aff

Bibliographic record

VenueArchivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) · 2024
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
FundersUniversity of TorontoUniversity of CambridgeUniversité LavalDeutsche ForschungsgemeinschaftUniversity of OxfordUniversity of Minnesota
KeywordsNucleofectionGestational periodTSG101DysgeusiaLiquationDiafiltrationTriacetinEmperipolesisDurvalumab
DOInot available

Abstract

fetched live from OpenAlex

The series at hand is a product of the German Research Foundation-sponsored Collaborative Research Centre TRR 294, "Structural Change of Property," based primarily at the Universities of Jena and Erfurt.This series is dedicated to the systematic, interdisciplinary study of the topics outlined above and features outstanding scholarly works on the past, present, and future of property.6 Cf.Herrmann-Pillath 2023, 22: "Feudal land law is only one example for the universal phenomenon that possession of land was never strictly individualized before the emergence of capitalist property."7 For Classical antiquity, and only in some specific cases for Late antiquity, the abbreviations of ancient authors and their works follow the fourth edition of the Oxford Classical Dictionary, edited by Hornblower-Spawforth-Eidinow 2012.8 For antiquity, see, for instance, Gai.Inst.2.2-3, 5-6, 9.For modern times, the scholarly debate is extensive, so we will only mention a few important scholars who have evaluated earlier ideas and advanced the 'state of the art', such as Ramon 2016/2017;

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)0.001
metaresearch head score (Gemma)0.001
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.019
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.263
Teacher spread0.247 · 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
Published2024
Admission routes1
Has abstractyes

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