Bibliographic record
Abstract
An artist in every sense of the word, Lhasa de Sela wowed audiences around the globe with her multilingual songs and spellbinding performances, mixing together everything from Gypsy music to Mexican rancheras, Americana and jazz, chanson française, and South American folk melodies. In Canada, her album La Llorona won the Juno Award and went gold, and its follow-up, The Living Road, won a BBC World Music Award. Tragically, de Sela succumbed to breast cancer in 2010 at the age of thirty-seven after recording her final album, Lhasa. Tracing de Sela's unconventional life and introducing her to a new generation, Why Lhasa de Sela Matters is the first biography of this sophisticated creative icon. Raised in a hippie family traveling between the United States and Mexico in a converted school bus, de Sela developed an unquenchable curiosity, with equal affinities for the romantic, mystic, and cerebral. Becoming a sensation in Montreal and Europe, the trilingual singer rejected a conventional path to fame, joining her sisters' circus troupe in France. Revealing the details of these and other experiences that inspired de Sela to write such vibrant, otherworldly music, Why Lhasa de Sela Matters sings with the spirit of this gifted firebrand.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".