Mastodawn

New paper: Before testing a theory, you need a measurement layer you can trust. This study audits directionality signatures—irreversibility, path dependence, hysteresis, entropy production—across 63 cross-domain studies. Zero false positives. Zero false negatives. The empirical foundation for what comes next.
[DOI link]
#OpenScience #Reproducibility #Nonequilibrium #Directionality

bs2 Mar 4, 2023

> ..research at #Kirikongo has revealed a,, socio-political sequence, with the development of institutionalized inequalities over the course of the 1st millennium CE, followed by an egalitarian revolution in the early 2nd millennium CE. The consequent social formation, despite being structurally egalitarian was actually more complex than the vertically oriented system.. and..question common assumptions of #directionality in #SocioPoliticalEvolution.
https://blogs.uoregon.edu/dueppen/kirikongo-archaeological-project/
#StephenDueppen

Kirikongo Archaeological Project | Dr. Stephen Dueppen

Michael P. Schlaile Jan 31, 2023

Will we transform by design or by disaster? In our post for the LSE Impact Blog, @KBBogner, Sophie Urmetzer, and I discuss
#transformativeresearch and how it can help to address issues of
#directionality, #legitimacy, and #responsibility in #transformations, using the example of #just and #sustainable #MobilityTransitions https://blogs.lse.ac.uk/impactofsocialsciences/2023/01/31/transformation-by-design-or-by-disaster-why-we-need-more-transformative-research-now/

Transformation by design or by disaster – Why we need more transformative research now

Global society is beset with many ‘wicked problems’ that are unlikely to be resolved by traditional disciplinary research methods. In this post, Kristina Bogner, Michael P. Schlaile and Sophie Urme…

Impact of Social Sciences

claude Jul 2, 2019

Working on my #bot to explore escape-time fractals, rendered with distance estimator colouring using my #et project. It's a #bash script that calls out to #ghc #haskell for calculator functionality, plus image fitness function in custom #C code (using #openmp for #parallel processing).

Flatness of #directionality #histogram seems to be a good #metric to add into the #fitness function for exploring #fractals algorithmically, because stretched/skewed images will have strong directionality peaks, while more #isotropic regions will be flatter.

I implemented it using 5x5 #Sobel filters as suggested on the #ImageJ website. Nothing fancy (like Earth Mover's Distance, which I haven't figured out for circular arrays yet) for the histogram comparison, just Euclidean vector distance.

ref: https://imagej.net/Directionality#Local_gradient_orientation

Directionality

This plugin is used to infer the preferred orientation of structures present in the input image. It computes a histogram indicating the amount of structures in a given direction. Images with completely isotropic content are expected to give a flat histogram, whereas images in which there is a preferred orientation are expected to give a histogram with a peak at that orientation.