ILIDI / ILINU - Incubator of Digital Literature
Bibliographic record
Abstract
ILIDI / ILINU–acronym in Spanish for incubator of digital literature or in French for Incubateur de littérature numérique– is a Quebec-Mexico co-creation program consisting of virtual workshops in digital literature and born from the collaboration between the artistic collective andamio.in, the Centro de Cultura Digital of Mexico and the TOPO artists' center in Montreal. This training and dissemination program in digital art and electronic literature aimed to develop the practice of writers, artists and programmers through different exchange and learning encounters in digital creativity, while at the same time moving towards a post-pandemic time. Thus, between April and May 2022, the first part of the training took place, with two general meetings: first, a general presentation of digital arts; then an overview of digital literature and a presentation of the state of the art in the Americas by the Centro de Cultura Digital of Mexico. From this point on, a dozen virtual meetings took place corresponding to six collaborative creation workshops: hypermedia collage, sound and audiovisual creation, creative coding, programming and dynamic content generation. The second part, between June and March 2023, was conceived as a mentoring and accompaniment programme for the projects proposed by the participants, as well as the preparation of all the materials for their final exhibition. Alone, in duos or trios, 11 artists created 7 works, each installed in its own 3D virtual space, mounted on the Mozilla Hubs platform. Although the exhibition –due to the characteristics of virtuality and isolation from which it was conceived– took into account its 100% digital assembly, in mid 2023, in other / new conditions it was possible to make presentations in person and also exhibit the pieces with virtual reality equipment, appealing to another type of experience for the user. This panel will share this experience by putting in dialogue the responsible team and the participating artists to comment on the processes and results of this programme, the successes, difficulties and points for improvement, as well as future perspectives. This project was made possible thanks to the support of the Ministère des Relations internationales et de la Francophonie du Québec.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".