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Record W2030557648 · doi:10.1177/0008429813488344

Reading and Constructing Utopias

2013· article· en· W2030557648 on OpenAlexaffvenue
Ehud Ben Zvi

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Religious, and Philosophical Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsUtopiaTemporalityReading (process)CertaintyPower (physics)SociologyAestheticsPeriod (music)Meaning (existential)EpistemologyPhilosophyHistoryArt historyLinguistics

Abstract

fetched live from OpenAlex

This article is meant as an invitation to further the use of the concept of utopia as a heuristic tool among historians of ancient Israel for the purpose of reconstructing the world of ideas of the late Persian period Yehud. To do so, and given that the term “utopia” may be and has been used in different ways, it advances, first, general considerations about an heuristic, pragmatic understanding of “utopia” and “utopian images” that may be particularly helpful for these purposes. Then it advances a number of observations about utopia and utopian images that were evoked when the literati of the late Yehud read and reread their authoritative corpus of texts. These observations deal, among others, with matters of exploration and certainty in the relevant community, of hope, of restoration and restorative utopias; they deal with issues of temporality as past, present and future utopias were construed and with the existence of multiple memories of utopias and multiple utopias. They address the issue that utopianizing tendencies led to memorable vignettes but not to memorable road maps, they do not fail to mention matters of utopia and power, and they conclude with issues for further discussion. On the whole, this article illustrates how “utopia”-informed approaches may shed light on the intellectual discourse of this community, while at the same time noting crucial differences between utopias and utopianizing tendencies both now and then that must be taken into consideration.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.100
GPT teacher head0.318
Teacher spread0.217 · 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 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

Citations1
Published2013
Admission routes2
Has abstractyes

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