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Record W4399601396 · doi:10.4000/11tfg

The Iconography of Ada Lovelace in Fictional Worlds

2024· article· fr· W4399601396 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBelphégor · 2024
Typearticle
Languagefr
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsIconographyArtHumanitiesArt history

Abstract

fetched live from OpenAlex

La figure d’Ada Lovelace a été une sorte de révélation pour ceux qui travaillent dans le domaine artistique. Elle a inspiré une réévaluation de la façon dont l'histoire de la science elle-même est racontée, dans une perspective qui reflète plus étroitement la réalité de ceux qui travaillent dans les disciplines des STIM (Science, technologie, ingénierie et mathématiques), comme un système de collaboration où la connaissance progresse grâce aux efforts du plus grand nombre, et non à l'effort d'un seul. À cet égard, Ada Lovelace apparaît à la fois comme une icône de l'émancipation globale des femmes, et un parangon d'une culture entièrement repensée des domaines des STIM. Cet essai examine l'iconographie d'Ada Lovelace en mettant l'accent sur quatre œuvres : The Difference Engine, Arcadia, The Thrilling Adventures of Lovelace and Babbage, et Doctor Who.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.002

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 head0.052
GPT teacher head0.397
Teacher spread0.345 · 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