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Record W6926149905 · doi:10.24433/co.6999436.v2

If van Gogh’s 'The Starry Night' depicts perfect turbulence, so should Degas’ 'A Woman Seated Beside a Vase of Flowers'

2025· other· en· W6926149905 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.

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

Bibliographic record

VenueCode Ocean · 2025
Typeother
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsVaseLogarithmFunction (biology)Image (mathematics)Power functionPaintingFourier transformFourier series

Abstract

fetched live from OpenAlex

This capsule provides two different MATLAB functions for computing the mean spectrum of an image in both the horizontal and vertical directions. The first function (img_spectra_1) uses the Welch's method and the second function (img_spectra_2) uses the 2D Fourier transform. The main script calls sequentially these two functions that are fed with an image of Degas's painting entitled 'A Woman Seated Beside a Vase of Flowers' and a graphical comparison is made. The two methods give essentially the same result. The result shows that the slope of the spectrum, when examined in the logarithmic space, is close to -5/3, that is the slope expected for fully developed turbulent flow following Kolmogorov's law of turbulence. These codes were written as part of a study to demonstrate, with a counterexample, that the slope alone of a power spectrum is a poor indicator of turbulence.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.335
Teacher spread0.305 · 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