Do You Want to Be Happy and Write?
Bibliographic record
Abstract
Michael Ondaatje has achieved international prominence and recognition in a way that few other writers have, let alone Canadian writers. This popularity is most pronounced for works of historical fiction such as The English Patient , winner of the Golden Man Booker Prize, and In the Skin of a Lion , set in 1930s Toronto, shortlisted for the Governor General’s Award and winner of the Canada Reads competition in 2002. But Ondaatje has been writing for over fifty years, and his innovative works include some of the most accomplished poetry in the English-speaking world. Taking its title from a question in his poem “Tin Roof,” Do You Want to Be Happy and Write? reassesses Ondaatje’s writing and the role of the poet, from his troubled explorations of the self-reflexive artist to his most recent novels. Comprehensive in both approach and coverage, this new collection offers groundbreaking analysis informed by an understanding of Ondaatje’s entire oeuvre, placing early poetry collections like The Collected Works of Billy the Kid and There’s a Trick with a Knife I’m Learning to Do alongside the full range of his novels and his extensive work as a literary editor. The book highlights the transnational, postcolonial, and diasporic issues that have become increasingly apparent in Ondaatje’s work. Contributors explore key interests that have reappeared and been rethought across his fiction and poetry: the construction of identity; the nature of memory and its relation to family origins and history; the human body as a site of contestation and struggle; the contrast between Eastern and Western values and the Southeast Asian diaspora; the writer’s responsibility in depictions of war, psychic trauma, and genocide; and an ongoing fascination with the visual and the media of photography and film. An eclectic celebration of an iconic author, Do You Want to Be Happy and Write? offers an authoritative reference point for scholars and students of literature and reveals new facets of a major author to his readers around the world.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.014 |
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".