Bienvenue à Montréal / Welcome to Montreal
Bibliographic record
Abstract
À la sortie des séances lors du prochain congrès de la SHC à l’Université Concordia, les délégués trouveront dans les couloirs\nune version moderne des joueurs de flûte du comte de Grimm qui les entraîneront vers un point de ralliement central. Équipés de sacs à dos munis de haut-parleurs, les musiciens, tous connectés à un réseau audio sans fil, se livreront à des improvisations musicales (inspirées de partitions générées par ordinateur) qui se mêleront au rythme de la foule. Le concert impromptu – techno,\nenjoué et branché – servira à rassembler des délégués provenant de 70 universités qui se\nréuniront à l’Université Concordia au printemps, concrétisant ainsi le thème\ndu congrès de 2010, « Le savoir branché –\nConnected Understanding ».
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.730 | 0.309 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".