Bibliographic record
Abstract
A 29 ans, ecoeuree de sa vie en general et meme d'elle-meme, Veronique Daudelin part en Inde pour quatre mois en esperant que ce voyage changera sa vie. Ce ne sera pas aussi simple. Au coeur d'une crise existentielle assumee, la narratrice cherche «tout»: qui elle est, sa place dans le monde et un sens a son existence. Rien de moins. Elle cherche des indices non seulement a travers le yoga et la meditation, mais aussi a travers les «personnages» qu'elle croise en route: des refugies tibetains, un itinerant, un mort, un chien? De la traversee de l'Himalaya a un mariage indien en passant par un rituel chamanique, la voyageuse pose sur elle-meme un regard toujours lucide. Son recit, honnete et authentique, est a la fois profond et rempli d'humour. L'Inde n'y est en rien idealisee. La quete spirituelle non plus. Veronique Daudelin est diplomee du Conservatoire d'art dramatique de Quebec (2003). Elle a travaille comme comedienne pour diverses productions theâtrales, pour la tele et pour le Cirque du Soleil. En 2016, elle a egalement coanime l'emission Azimut, diffusee sur Evasion. Elle habite a Montreal.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.152 | 0.052 |
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".