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Record W4300003582 · doi:10.29173/pandpr29447

What About NOT

2022· article· en· W4300003582 on OpenAlexvenueno aff
Michael Biggs

Bibliographic record

VenuePhenomenology & Practice · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsCounterfactual thinkingNarrativeSiegeAgency (philosophy)EpistemologyExistentialismOstensive definitionLegitimacyLiteratureSubjectivismSpace (punctuation)AestheticsPhilosophyHistoryArtLinguisticsLawPolitical science

Abstract

fetched live from OpenAlex

This is a piece of experimental multi-perspectival writing in which four different personae adopt different methods and intellectual relationships to writing as a means of research, by using the topics of fiction, counterfactual history and not-being. The narrative line is provided by a novelist who retells Saramago’s The History of the Siege of Lisbon. In Saramago’s novel a wayward proof-reader mischievously adds the word “not” to the historical account, creating a fictional, counterfactual history. This “bringing into being” of a fiction – of what didn’t actually happen – sets in train a series of perspectives or thought experiments by the four personae of the present text on the nature of “not-being”. They deploy methods from fictional writing and phenomenological practice informed by Saramago and Sartre, and phenomenological theory informed by Husserl and Meinong, thereby investigating the topic from four different perspectives. As a result, it is proposed that the legitimacy gap suffered by fiction-as-research may be bridged by so-called Meinongian objects, and the problem of whether such inexistent objects are facts, is less important than deciding whether they are useful. The conclusion is that artistic research methods offer techniques and a space to discuss the agency of not-being, of what-if, and of omission, through the legitimate deployment of fiction and falsehoods; and the benefits of so doing outweigh the existential discomfort that such ideas usually induce in researchers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0470.001

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 head0.075
GPT teacher head0.335
Teacher spread0.260 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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