Bibliographic record
Abstract
Dans cette époque actuelle de pandémie de COVID-19, la musique et les musiciens ont étéobligés à se réinventer pour continuer la pratique artistique, étant donné que les activitésculturelles ont été interrompues ou reportées. L’espace de diffusion le plus utilisé a été celuioffert par les nouvelles technologies, en particulier les réseaux sociaux, que les musiciens ontutilisé pour l’organisation de concerts et performances, en live ou enregistrés, afin de ne pasarrêter le flux de la création et de l’inventive musicale. À l’intérieur de ce triste contexte de nosjours, dans une ville du Sud de l’Italie, nous avons pu suivre les activités du Giannimondo. Ils’agit d’un projet crée par un jeune salernitain, Gianni Fiorito, qui a inventé un espace culturelvirtuel sous-forme d’émission en livestreaming Instagram et Facebook. Les épisodes ont eucomme objectif de garder les gens à la maison depuis mars (début des restrictions duGouvernement italien), essayant de proposer des contenus culturels intéressants. Enparticulier, une place de relief a été consacrée à la musique par l’invitation d’artistes afin de lesfaire exprimer à travers des entretiens et par des petites performances. L’événement le plusimportant organisé à l’intérieur du Giannimondo a été le concert du 1er Mai (2020), qui a vu huitheures de performances par trente jeunes artistes, en livestreaming. D’autres activités sontprévues pour accompagner les jeunes et les adultes dans le lent retour à la normalité.Throughout the COVID-19 pandemic, musicians—and the music industry—have been forced toreinvent themselves in order to continue the production and dissemination of art, as all culturalactivities have been interrupted or postponed. To this end, the most popular spaces in whichartists have broadcast their work have been made possible by new technologies. Socialnetworks, in particular—which musicians have used to organize concerts and performances,both live and recorded—have allowed these artists to continue the flow of creativity and musicalinventiveness. Within the context of the challenging first months of the pandemic, in a town insouthern Italy, myself and others were able to find some respite by following the activities ofGiannimondo. Created by a young Salernitan, Gianni Fiorito, this was a virtual cultural space inthe form of a recurring Instagram and Facebook livestream show. The episodes, which offeredinteresting cultural content, were produced to encourage people to stay at home after Italiangovernment restrictions began in March 2020. This series became a prominent, online spacededicated to showcasing artists expressing themselves through interviews and shortperformances. The most important event as part of Giannimondo was its May 1 concert, whichsaw eight hours of livestreamed performances by thirty young artists. This series is alsocommitted to planning other activities to support both young people and adults in the slow returnto post-pandemic normalcy.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.127 | 0.063 |
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".