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I swear, I've been submitting articles to journals for almost 10 years now and I still have no idea what to write in the cover letter. Like, what can I say that the editors won't get from just skimming the abstract and looking at the contact info associated with my profile in the submisison system?

WE SHOULD BE PAST THE NEED FOR COVER LETTERS, DAMMIT! THIS IS THE FUTURE!

#academia #linguistics #psycholinguistics

This quote, estimating that at least 50% of the literature might be a Type 1 error due to inflated false positive and publication bias, was published 38 years before Ioannidis (2005) making the same point in 'Why most published research findings are false'

A question that is reminiscent of both Douglas Hofstadter and Daniel Dennett's work (and also of some of @gregeganSF books): what sort of things can be truly generated by simulation? As John Searle said: "No one would suppose that we could produce milk and sugar by running a computer simulation of the formal sequence in lactation and photosynthesis". Similarly, Dennett stresses that a simulated hurricane causes no floods and devastation... Or does it? Maybe if you manage to integrate an AI in the simulation, then from its point of view this would look like a real hurricane. But at least it is not a hurricane at the "level" of the programmer. Now there are also things that are "truly" generated by simulation at the level of the programmer. Think of mathematical proof. If you design a computer program to produce mathematical proofs, then it won't generate simulated mathematical proofs but true mathematical proofs. The same goes for language or music. Now the big question is : on which side of this divide does the mind fall? Is it more like milk or more like language?

#AcademiaAntiracistFightClub ✊24 juillet 2023

Série de l'été #DelaraceESR🌞

"Rejeter la thèse bien étayée de l’existence d’un racisme systémique (...) ne devrait pas être le fait de personnes qui  exercent un métier scientifique".
par @anthrofuentes
academia.hypotheses.org/50733

A question that is reminiscent of both Douglas Hofstadter and Daniel Dennett's work (and also of some of @gregeganSF books): what sort of things can be truly generated by simulation? As John Searle said: "No one would suppose that we could produce milk and sugar by running a computer simulation of the formal sequence in lactation and photosynthesis". Similarly, Dennett stresses that a simulated hurricane causes no floods and devastation... Or does it? Maybe if you manage to integrate an AI in the simulation, then from its point of view this would look like a real hurricane. But at least it is not a hurricane at the "level" of the programmer. Now there are also things that are "truly" generated by simulation at the level of the programmer. Think of mathematical proof. If you design a computer program to produce mathematical proofs, then it won't generate simulated mathematical proofs but true mathematical proofs. The same goes for language or music. Now the big question is : on which side of this divide does the mind fall? Is it more like milk or more like language?

Grâce à l'import des médailles d'argent du CNRS sur #Wikidata, on peut à présent répondre à cette question : à partir de quand la parité dans la remise de ces récompenses est-elle atteinte ?

#SPARQL #Wikipédia
wikif.hypotheses.org/140

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sciencedirect.com/science/arti
"Capitalism and extreme poverty: A global analysis of real wages, human height, and mortality since the long 16th century"
Une critique détaillée de la position de selon qui le capitalisme industriel a permis à l'humanité de sortir de la pauvreté. Je parlais de cet argumentaire et de ses détracteurs dans cette note de blog :
dbao.leo-varnet.fr/2019/08/26/

What is the cost of science being conducted in English? @tatsuya_amano &co reveal that non-native English speakers spend more effort than native speakers in conducting scientific activities (reading, writing, preparing presentations...) #PLOSBiology plos.io/46Rfptc

Have you read the JASA Express letter, Speech beyond the binary: Some acoustic-phonetic and auditory-perceptual characteristics of non-binary speakers, by Brandon Merritt? Check it out at doi.org/10.1121/10.0017642
#PrideMonth

Holy _shit_ this paper, and the insight behind it.

You know how every receiver is also a transmitter, _well_: every text predictor is also text compressor, and vice-versa.

You can outperform massive neural networks running millions of parameters, with a novel applications of _gzip_.

aclanthology.org/2023.findings

Géraldine Carranante, post-doctorante au @lsp_ens dans mon équipe de recherche, revient sur son parcours et ce qui l'a amenée à faire de la philosophie dans un laboratoire de psychophysique de @cognition_ens youtu.be/V_xz1p5PrEU

I feel like this comic has been my whole career as a linguistics researcher. Eg "progressing" from "should we be talking about Noun Phrases or Determiner Phrases?" to "what is a Noun really"?

So... good?

xkcd.com/2797

#linguistics @linguistics

J’ai commencé à prendre la mesure d’un truc : le sentiment de toute-puissance qu’on gagné ces sphères à l’aune de la crise sanitaire. Celles-ci ayant endossé pleinement une posture de « Gardiens de l’Ordre Public » et porté l’auréole héroïque que cela leur a prodigué.

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Le serpent se mord la queue et « l’apolitisme » si précieux aux yeux des zet se prend le mur. Car le pseudo « debunking neutre » s’inscrit donc pleinement ds une démarche oppressive. Réactionnaire au sens premier du terme (garder ses privilèges, maintenir « l’ordre établi »).

Comme si le pouvoir prodigué par cette casquette de « debunker »/« détenteur de la vérité et de la vertu » était devenu si addictif qu’il n’y a désormais plus de problème à reprendre des experts ds leur domaine d’expertise, et cela sans expertise. Le serpent se mord la queue.

Andrew Gelman: the causal revolution in econometrics has gone too far statmodeling.stat.columbia.edu
“The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data”

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