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Record W2335328045 · doi:10.1177/0090591716642496

Catching Up with Wells: The Political Theory of H. G. Wells’s Science Fiction

2016· article· en· W2335328045 on OpenAlexaff
Emma Planinc

Bibliographic record

VenuePolitical Theory · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsUniversity of Toronto
FundersFaculty of Education, Victoria University of WellingtonAmerican Political Science Association
KeywordsPoliticsFaithThe ImaginaryInstitutionIdentity (music)NarrativeDeclarationEnvironmental ethicsLawHuman rightsSociologyPhilosophyHistoryPolitical scienceAestheticsLiteratureEpistemologyPsychoanalysisArt

Abstract

fetched live from OpenAlex

H. G. Wells’s The Rights of Man (1940)—which provided the groundwork for the 1948 UN Declaration of Human Rights—has been re-released with a new Introduction by novelist Ali Smith, who reminds us of Wells’s political prophetic call for “a real federation of mankind,” and of the fact that we have still failed to meet the future he envisioned. If we are to catch up with Wells, we must, however, examine the foundations of Wells’s “cosmopolitan” vision, which requires examining both his scientific non-fiction and his scientific romances. Looking to Wells’s The Island of Dr. Moreau in particular, and the influence of Wells’s early scientific essays on Moreau’s narrative, we get a picture of Wells as a writer and a man who is anxious about the identity and future of the human species, but who nevertheless puts his faith in the “apparatuses” of “education and moral suggestion,” which are held together by “common faith.” Much like Charles Taylor and Simon Critchley, Wells calls for more than a political reconstitution, or institution, of right: he calls for a new cosmic imaginary, or supreme fiction, that has the potential to redeem and preserve the human species.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.010
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.036
Scholarly communication0.0070.008
Open science0.0010.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.250
Teacher spread0.218 · 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
Published2016
Admission routes1
Has abstractyes

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