Bibliographic record
Abstract
Book of Longing is Leonard Cohen's astonishing new collection of poems, the first since Book of Mercy was published nearly three decades ago. Leonard made his name as a poet before he came to worldwide attention as a singer and songwriter. Book of Longing, his new collection of poetry, was twenty years in the making and written in Montreal, Mumbai and during his retirement in Mt Baldy. Enhanced by Cohen's own playful and provocative illustrations, these poems show the full range of one of the most influential and enigmatic writers of his generation. Awe-inspiring...Cohen emerges as the wry, sensual mystic his champions have always known he was. (Sunday Telegraph). Exceptional. Clear yet steamy, cosmic yet private, both playful and profound...as soulful a credo as he has ever put on paper. (New York Times). Playful, colourful, erotic...brilliant and sharp as flint. (Big Issue). Dazzling. (Sunday Herald). The best bring an ironic, world-weary sensibility to bear on themes of ageing, sex, sensuality and spirituality. (Financial Times). A fine book of poems. (Time Out). Cohen maps this wasteland of the heart with humour, and sometimes anger. (Independent). Cohen's career began in 1956 with the publication of Let Us Compare Mythologies, and he has since published nine books of poems, and has made numerous internationally successful recordings. In a career spanning fifty years, Leonard has become one of the western world's most popular and innovative creative artists.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.269 | 0.107 |
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".