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🎯 Vous vous sentez concerné·e·s par la reproductibilité de la recherche ?

Aidez le groupe de travail sur les données FAIR du think tank Knowledge Exchange (knowledge-exchange.info) à comprendre quels types de pratiques aident les chercheurs et les gestionnaires à développer des pratiques qui améliorent la reproductibilité de la recherche !

Comment ? En répondant à cette enquête : reproducibility.limesurvey.net

Deadline : 31.05.23

#recherche #données #scienceouverte #data #research #openscience

@dstephenlindsay Indeed! In the case of a binomial law such as this one the error bars can be directly derived from the estimated probability of success, but I agree it would be helpful to represent them anyway as a visual aid.

Richard Monvoisin (@RichardMonvoisin) à propos du biais de l'escalade d'engagement : "C'est le temps que tu consacres à ta rose qui rend ta rose si importante, disait St Exupéry. Vous remplacez rose par guerre, hélas, ça marche aussi."
radiofrance.fr/franceculture/p

@kfort @psycholinguistics Dans cet article particulier il y a 5 études, toutes allant vers des résultats concordants... et par ailleurs dans la littérature psycholinguistique il y a de nombreux résultats allant dans le même sens, avec des tailles d'effets plus ou moins forts... Un article de Pascal Gygax qui fait le point : theconversation.com/ecriture-i

I failed to mention that N=101. As a matter of fact they use a very good sampling strategy: "One hundred and one randomly selected passers-by in the lobby of the Clermont-Ferrand train station and in the lobby of a large administrative center constituted our sample"

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@psycholinguistics Ironically enough, while the results are strongly in favor of the use of gender-fair forms, the authors chose to write the article using only generic masculine forms...

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Another nice study (in French) on the effect of "generic masculine forms" on mental representations. The measured effects are quite dramatic: for instance, this figure shows the percentage of women cited as a potential Prime Minister when the question is asked using a generic masculine form ("candidat") or a double form ("candidat/candidate"). persee.fr/doc/psy_0003-5033_20 @psycholinguistics

Les perles de l’Académie Française, par @laelia_ve : 35 ans de discours réactionnaires, sexistes et linguistiquement infondés sur la féminisation des noms de métiers.
youtube.com/watch?v=HKgptT5WVQ

Am I misunderstanding something?

This appears to be a stunningly irresponsible story in Science, claiming that up to 30% of the scientific literature is fake.

science.org/content/article/fa

Below, the first two paragraphs of the story.

h/t @Hoch

A very nice study by Gygax et al. (2008) on the influence of the of the masculine form (allegedly) intended as generic on the representation of gender in language: tandfonline.com/doi/abs/10.108 "This finding has critical social implications, especially in relation to the acknowledgement of women in society. We believe that our results show that the so-called generic use of the masculine biases gender representations in a way that is discriminatory to women. This is especially true as French and German newspapers still display some job announcements in the masculine form, therefore, we believe, suggesting that women are not suitable candidates. In 2002, the Académie Française deemed it necessary to publish a document stating that the use of the masculine as generic was totally gender-open and that using different grammatical forms was unnecessary. Our findings demonstrate that the Académie Française have clearly underestimated the influence of the masculine form in leading readers towards a male representation." @psycholinguistics

As someone who has participated in multi-year edits wars over, yes, Nazi shit, I will say that my biggest concern here isn’t about unedited LLM text hitting wikipedia articles—that’s v bad but probably largely fixable—but with the way Talk page sophistry is about to become absolutely fucking unmanageable as malicious editors set chatbots to do their infinite argumentation for them

To generalize: LLMs on the web’s surfaces are bad. LLMs in the backstage are much worse.

vice.com/en/article/v7bdba/ai-

@danielyuksek Thank you for reviving this topic! One limit I see to this line of reasonning is that it assumes that biases are related to the perspective of the individual, and not to that of society itself. If you think of gender biases as a difference in individual values/point of view, how would you explain that, in a jury, female faculty exhibit a bias against female applicants? (pnas.org/doi/10.1073/pnas.1211). This being said, I agree with you that being aware of its own bias plays an important role in dealing with them! (nature.com/articles/s41562-019)

Happy to introduce the new release of the fastACI toolbox (v1.3) for investigating auditory perception using reverse correlation (github.com/aosses-tue/fastACI/). This release includes new functionalities and examples, e.g., the possibility to replicate Ahumada's seminal reverse correlation experiment on tone-in-noise perception!

So folks, don't forget to check if your Ikea chair is compatible with your screen. I'm not kidding. A thread 🧵.

I've had the problem with my new screen for several weeks now, that every now and then the screen goes black for a few seconds.

Today I had enough and wanted to investigate the problem. So I started changing all the cables, plugging the screen into a different socket, and and and. Nothing helped.

We have started a wall of faces in the lab @lsp_ens. Not only will we finally know everyone's name, but taking pictures was also a lot of fun.

@ceoln you were right, it was the ID indeed... But the plugin doesn't work with qoto apparently qoto.org/@freemo/1102368835633

Ok that's what I assumed... thanks @freemo for the clarification! So that means this plugin doesn't work with @QOTO

Does anyone else feel that modeling work has a shorter lifespan than experimental work? When I'm searching the literature, I'm less likely to be interested in a modeling paper from e.g. 20 years ago than an experimental paper from the same time.

Modeling work is so dependent on the assumptions and mindsets (and computational tools) of the time, it seems it best serves to move thought forward in the moment, but not (at least on average) last a long time.

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