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Record W7024237270

Regard sociologique sur la visualité : Comment les technologies reconfigurent les représentations sociales et esthétiques des espaces urbains

2022· dissertation· fr· W7024237270 on OpenAlexaboutno aff

Bibliographic record

VenueEspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique) · 2022
Typedissertation
Languagefr
FieldSocial Sciences
TopicContemporary art, education, critique
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyIdentity (music)Context (archaeology)Perspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

Cette thèse de doctorat s’intéresse aux impacts sociaux, culturels et esthétiques liés à l’adoption \nrapide des technologies numériques dans la vie quotidienne des individus. Dans un contexte où \nles industries numériques semblent plus que jamais se tourner vers des technologies liées à la \nvision – photographie, image automatisée, technologies de vision algorithmique – nous cherchons \nà comprendre si la production de données visuelles et contextuelles générées par ces \ntechnologies ne préfigurerait pas un changement dans les représentations que les citoyens et \nusagers entretiennent avec les espaces urbains. Inscrit aux frontières de la sociologie de la \nculture, des études urbaines et de la sociologie du numérique, la recherche qualitative mobilise la \nnotion de visualité, afin d’aborder l’impact de ces technologies, aujourd’hui inhérentes au \ncapitalisme de surveillance, dans la façon de concevoir, d’expérimenter ou de percevoir notre \nenvironnement. C’est plus particulièrement en regard du travail d’artistes numériques, issus du \nmouvement postphotographique et de celui de l’art de la surveillance, que sont abordés les enjeux \nsociaux et esthétiques, soulevés par ces nouvelles formes d’urbanités. \nL’analyse se fonde sur des entretiens semi-dirigés avec 13 artistes numériques, québécois et \ninternationaux, ainsi que sur l’analyse de 39 oeuvres tirées de leur corpus. À travers ces oeuvres \nsont abordés divers enjeux soulevés par la collecte massive de données et la présence accrue \ndans notre environnement de technologies destinées à observer les individus dans leurs moindres \nfaits et gestes. Le corpus d’oeuvres est ainsi analysé en fonction des lieux où apparaissent les \ntechnologies dans la ville, soit : au-dessus, à l’intérieur et au-dessous du tissu urbain. Ce choix \nméthodologique nous permet d’appréhender selon une perspective nouvelle, empirique, réflexive \net critique les enjeux complexes liés aux différentes formes de surveillances numériques. \nLa recherche permet, en outre, de saisir la place centrale qu’occupe la visualité au sein des \nindustries numériques, sa valeur, mais surtout les implications profondes qu’a aujourd’hui le \nnumérique sur chacun des choix et actions (en ligne et hors ligne) que posent les individus dans \nleur vie quotidienne. Rendre visible l’invisible, voilà, en sommes, ce que cherche à faire ces \nartistes photographiques, en proposant des réflexions tout à fait fécondes quant à l’impact du \nnumérique dans nos modes de vie. Ce à quoi s’attarde d’un point de vue sociologique la présente \nrecherche. \n \nThis doctoral thesis is concerned with the social, cultural and aesthetic impacts of the rapid \nadoption of digital technologies in people's everyday lives. In a context where digital industries \nseem to be turning more than ever towards vision-related technologies – photography, automated \nimage, algorithmic vision technologies – we seek to understand if the production of visual and \ncontextual data generated by these technologies might not foreshadow a change in the \nrepresentations that citizens and users hold of urban spaces. Located at the frontiers of the \nsociology of culture, urban studies and the sociology of the digital, our qualitative research \nmobilises the notion of visuality in order to address the impact of these technologies, today \ninherent to the surveillance capitalism, in the way we conceive of, experience or perceive our \nenvironment. The social and aesthetic issues raised by these new forms of urbanity are particularly \ndiscussed in relation to the work of digital artists from the post-photographic movement and the \nsurveillance art. \nOur analysis is based on semi-directed interviews with 13 digital artists, both from Quebec and \nabroad, as well as on the examination of 39 works taken from their corpus. These works address \nvarious issues raised by the massive collection of data and the increased presence in our \nenvironment of technologies designed to observe individuals in their every move. The corpus of \nworks is thus analysed according to the places where the technologies appear in the city, i.e.: \nabove, inside and under the urban fabric. This methodological choice allows us to apprehend from \na new, empirical, reflexive and critical perspective the complex issues related to the different forms \nof digital surveillance. \nThis research also allows us to grasp the centrality of visuality within the digital industries, its \nvalue, but above all the profound implications that digital technology has today on each of the \nchoices and actions (online and offline) that individuals make in their daily lives. Making visible the \ninvisible is what these photographic artists are trying to do by proposing some very fruitful \nreflections on the impact of the digital world on our lifestyles. This is what the present research \nfocuses on from a sociological point of view.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0070.017
Scholarly communication0.0160.007
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.153
GPT teacher head0.421
Teacher spread0.268 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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