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Record W3014646451 · doi:10.1201/9780429297755

Intelligence, Creativity and Fantasy

2019· book· en· W3014646451 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsnot available
FundersHorizon 2020 Framework ProgrammeFundação para a Ciência e a TecnologiaFederation for the Humanities and Social SciencesUniversity of Pennsylvania
KeywordsFantasyCreativityPsychologyArtSocial psychologyLiterature

Abstract

fetched live from OpenAlex

Political theorists, theologians, jurists, men of letters, spoke during the early modern Era about uses and abuses of authority. Offences, vices and crimes of rulers or ruling elites are subject to consideration, by revisiting, in texts and images, the conduct of the political body and the repercussions in the social body, which tolerates them or cooperates with them. The construction shows itself as particularly creative, along with written works which are the inheritance and update of interpretations on the foundations and mechanisms of power, the emblematic with its symbols and enigmatic messages that also cover those subjects. It is, hereby, covered a fertile field of creativity and fantasy, inspired by ancient and modern sources, which combines inscriptio with pictura and with subscriptio, in a dialectical and intelligent articulation, challenging the reader to seek the senses of the enigma. We are faced with a literature largely spread during the Renaissance, which evolves through successive editions and translations, revisiting texts in prose or verse and recreating engravings according to the geographical and epochal vicissitudes. From Alciato to Ripa, imagery manifests a unique intelligence game.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.470
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.055
GPT teacher head0.379
Teacher spread0.324 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations8
Published2019
Admission routes1
Has abstractyes

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