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Record W4307098211

The Writer is the Architect. Editorialization and the Production of Digital Space

2018· preprint· en· W4307098211 on OpenAlex
Marcello Vitali-Rosati

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2018
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSpace (punctuation)Production (economics)ArtComputer scienceArchitectural engineeringComputer graphics (images)Visual artsEngineeringOperating systemEconomics
DOInot available

Abstract

fetched live from OpenAlex

We live primarily in a digital space. The structure of the territory first appears to us by means of the mediation of digital devices, ones predominately owned by large multinational corporations. This situation implies a huge risk – that of remaining passive while private companies organize and develop these spaces for us. How might we avoid this risk ? Is it possible, in the digital age, for us to be central to the production of the spaces in which we live ? How might literature constitute a tool for the production of the spatial imaginary that enables us to reappropriate the places and territories managed by the information industry ? This paper addesses these questions and attempts to show, on the basis of the theory of editorialization, how writing can be a way of producing the space in which we live.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.999

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.150
Teacher spread0.147 · 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