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Record W2095340162 · doi:10.1177/0169796x14525528

What Is Development? What Is Progress? The Social Science and Humanities of Utopia and Futurology

2014· article· en· W2095340162 on OpenAlexaff
David Lempert

Bibliographic record

VenueJournal of Developing Societies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsInternational Development Research Centre
Fundersnot available
KeywordsVisionUtopiaTabooModernization theoryConstructiveGlobalizationSociologySocial scienceField (mathematics)Social changeHumanitiesPolitical scienceEnvironmental ethicsProcess (computing)PhilosophyLawAnthropology

Abstract

fetched live from OpenAlex

The process of “modernization” or “development” in contemporary globalization has included an assault on imagination, such that the very idea of offering alternative visions seems to be taboo. This article advocates for a constructive return to alternative models of human and social development based on realistic assumptions, human hopes, and measures of progress in both social sciences and humanities, to rejuvenate what has become a dying, impoverished, and stultifying, if not useless area of study. The article uses two relatively recent books with alternative examinations of utopia – one on early Russian science fiction and one from the literature of architecture and gender – as springboards for a discussion of what is wrong and what can be changed in the field of development studies.

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)0.012
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 score0.016
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0060.075
Scholarly communication0.0160.022
Open science0.0010.006
Research integrity0.0030.007
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 head0.029
GPT teacher head0.311
Teacher spread0.281 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

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