Bibliographic record
Abstract
CORES: Interactions of artistic and scientific perspectives Bernard GUELTON, Université Paris 1 Panthéon Sorbonne, ANR CORES Artistic context The research team Fictions & Interactions of the University Paris 1 and the media company ORBE have developed since 2013 collective artistic experiments between distant cities (Paris, Shanghai, Montreal, Rio de Janeiro). Using specially designed interactive applications and creative scenarios, the goal was to connect remote walkers between one or the other of these cities. The project was to hybridize urban spaces of different conformities through physical, virtual and fictional interactions between participants. The artistic practices of space and especially the interactions between distant walkers do not simply provide a context for study here, but form a kind of anticipation of the post-representational paradigm of cartography with examples such as the psycho-geography of the situationists in the late 1950s. As early as 1994, an artist like Fujihata used GPS technology in his project Impressing Velocity. The data collected by Fujihata models the itinerary by producing a contraction of the form during a rapid movement, or an expansion of the form during a slow movement. However, it is from the 2000s that groups of artists from participatory theater such as Blast Theory use GPS technologies, visual and verbal interactions to connect walkers in tasks of exploration or playful interaction. Scientific implications After several years of experimentation on collective walks using instrumental and shared CTs, a central scientific question has clearly emerged: to what extent are instrumental and shared maps likely to modify our behaviours and spatial representations? To answer the question of the impact of mapping tools and collective interactions on collective representations, the CORES project associates and crosses geography, geomatics, cognitive psychology, computer science, artistic practices of walking, design and data visualization. Each of these disciplines contributes to the proposed methodology. Spatial cognition from cognitive psychology is now extended and transformed by the neurophysiology of brain areas dedicated to spatial behaviors. If the study of representations in space has long associated cognitive psychology and geographical sciences, the CORES project renews this association in an original way by closely linking representations of space to behaviours with an approach that is no longer only static, but above all dynamic. Thus, a dynamic approach to the trackings of walkers in relation to a dynamic approach to drawn representations forms an important stake at the level of the proposed methodology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.024 | 0.012 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.108 | 0.015 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".