L’espace mental de l’enquête (I) « L’espace logique » propre aux assertions des sciences sociales, dont j’ai proposé quelques éléments de description dans les Propositions et Définitions d’un ouvrage récent, a pu sembler une expre...

Il y a mention de "quantitatif frileux" dans journals.openedition.org/enquete/259

À jamais les seconds...

See you down in Arizona bay!

...
- Using less equivocal categories (artists/songs rather than genres)
- Getting "gut" reactions on actual cultural products, rather than abstract opinions.

Cheers!
10/10

These different results highlight how such design can contribute to important improvements:
- Learning about distortions in samples,
- Studying, at large scale, the social stratification of recorded practices instead of self reports,
...
9/10

4) Finally, we used the log histories of our interviewees to elicit reactions on songs we predicted they would not like. Here are some of their reactions:
8/10

The highlighting on this figure of the rock (triangles) and rap (squares) artists that were strongly over/under listened to in the previous figure provides with further hints of an education-based self-selection of our sample.
7/10

3) Zooming on streams of our 35-44 y.o. respondents, we find that artists with the most educated audience tend to be in classical and jazz; those with the least are French rap ones. Artists with most masculine audience are men-only artists; those with most feminine audience are more mixed.
6/10

2)Comparing the streams of a 35-44 y.o. random sample of users with our survey respondents of the same age, we find that our respondents over-listen to rock artists of the past century, and under-listened contemporary French rap ones. More a Radiohead/Muse sample than a Jul/Aya Nakamura one ...
5/10

1) Survey respondents who agreed for an interview were disproportionately highly educated males aged 35-44 (the modal characteristics of our research team...). To overcome this limitation, we stratified our pool of interviewees by these characteristics (one per cell of table D).
4/10

- The logs of the listening practices of a large sample of Deezer users.
- Socioeconomic infos of a sub-sample of these users via a questionnaire
- Life story and opinions on music from interviews of a sub-sub-sample of these respondents.

Many fun things in this paper:
3/10

We present the design and descriptive results of a large-scale research on online music consumption from the ANR research project RECORDS led by T. Louail, in partnership with Deezer R&D. The main specificity of this research is that we combine three types of data, following a nested strategy:
2/10

New paper (in english) just out in French Journal of Sociology! with T. Louail and I as corresponding authors, and A. Beaumont, J.-S. Beuscart, S. Coavoux, P. Coulangeon, R. Cura, B. Le Bigot, M. Moussalam and C. Roth as co-authors
shs.cairn.info/tap-bj77312m...
hal.science/hal-04448365....
1/10

A scatter plot showing the epistemological coordinates of researchers across different academic disciplines. The plot uses two axes: PC1 (x-axis) representing Culture vs Nature, and PC2 (y-axis) representing Life vs Non-life. Each dot represents one of 58,466 researchers with 5+ publications. Points are color-coded into six broad categories: Agricultural and veterinary sciences (pink), Engineering and Technology (orange), Humanities and Arts (red), Medical and Health Sciences (light blue), Natural Sciences (dark blue), and Social Sciences (green). The visualization reveals distinct clusters and gradients between disciplines. Engineering and Natural Sciences cluster toward the 'Non-life' end, Medical and Agricultural sciences toward the 'Life' end, and Humanities and Social Sciences toward the 'Culture' side. Specific fields are labeled with text boxes showing their average positions (e.g., 'ChemEng', 'BioMed', 'Law', etc.). The data points form a rough circular or elliptical shape across the two-dimensional space, illustrating how academic disciplines relate to each other along these epistemological dimensions.

🧵 Does science look like a sprinkle donut? 🍩👀 In our latest paper with @yannrenisio.bsky.social we map the epistemological tastes of scientists by identifying the main dichotomies in scientific knowledge — Culture–Nature, Life–Non-life, and Materials–Methods. 🔗 www.sciencedirect.com/science/arti...

Mapping knowledge: Topic analysis of science locates researchers in disciplinary landscape The study presents a new approach for constructing an epistemological coordinate system that locates individual researchers within the disciplinary la…

New paper: Yann Renisio & Radim Hladík present a new approach for constructing an epistemological coordinate system that locates individual researchers within the disciplinary landscape of science (Culture–Nature, Life–Non-life, Materials–Methods dichotomies) www.sciencedirect.com/science/arti...