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Manifesto

2018· book-chapter· en· W4233326592 on OpenAlexaff
Cathy Waszczuk

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsManifestoArticulation (sociology)PoliticsInclusion (mineral)Order (exchange)ArtArt historyAestheticsSociologyHumanitiesPolitical scienceLawGender studies

Abstract

fetched live from OpenAlex

A manifesto is an articulation of a particular (sometimes numerically or hierarchically ordered) set of theses that correspond to a political or aesthetic movement. In early forms, manifestos appeared as religious, then legal, tracts and gained prominence in sociopolitical discourse in the seventeenth and eighteenth centuries. According to Janet Lyon, the manifesto sets out the particular terms of exclusion or repression of a minority group by a majority oppressor, activating a complex binarity of inclusion (of sympathetic individuals or movements) and rejection (of the dominant order against which the group identified in the manifesto defines itself). The manifesto was the preferred form of aesthetic proclamation for early twentieth-century modernist and avant-garde art movements, including, notably, Futurism, Vorticism, Dada and Surrealism.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.098
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0120.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0980.034

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 head0.070
GPT teacher head0.270
Teacher spread0.200 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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