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Record W4235869047 · doi:10.1525/aft.2009.37.1.47

Paradigm Shift

2009· article· en· W4235869047 on OpenAlexaboutno aff
J. Lynn Fraser

Bibliographic record

VenueAfterimage · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsIconCitationAfterimageComputer scienceHistoryLibrary scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Book Review| July 01 2009 Paradigm Shift Housepaint, Phase 2: Shelter Royal Ontario MuseumToronto December 13, 2008–July 5, 2009 J. Lynn Fraser J. Lynn Fraser J. LYNN FRASER writes for Canadian and international magazines on a variety of topics and is the author of a non-fiction book for children. Currently, she is writing two non-fiction books, one for children and the other for adults. Search for other works by this author on: This Site PubMed Google Scholar Afterimage (2009) 37 (1): 47. https://doi.org/10.1525/aft.2009.37.1.47 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation J. Lynn Fraser; Paradigm Shift. Afterimage 1 July 2009; 37 (1): 47. doi: https://doi.org/10.1525/aft.2009.37.1.47 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAfterimage Search This content is only available via PDF. © 2009 Afterimage/Visual Studies Workshop, unless otherwise noted. Reprints require written permission and acknowledgement of previous publication in Afterimage.2009 Article PDF first page preview Close Modal You do not currently have access to this content.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.176
Threshold uncertainty score0.589

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1760.102

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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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
Published2009
Admission routes1
Has abstractyes

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