Bibliographic record
Abstract
Nemtin, Ben, et al. What Do You Want To Do Before You Die?: The Buried Life. New York: Artisan, 2012. Print. Nobody wants to think about dying. In fact, we often forget that our time is limited. The Buried Life, named after a Matthew Arnold poem, started in a garage in Victoria, BC when four disillusioned twenty-something university students got together to compile a list of 100 things they wanted to accomplish before they died. With a secondhand video camera and a used RV, these students set off for two weeks to tackle their bucket list. Six years later, they are still travelling the world, crossing items off that list. For every dream they accomplish, they help someone else fulfill a goal. “Write a bestselling book” was one dream on their list which they can now cross off. What Do You Want to Do Before You Die? is an illustrated compilation of stories about the background of the four members of The Buried Life, tales of how they crossed items off their list along with photographic evidence, and favourite quotations, as well as a list of items and narratives chosen from the tens of thousands of answers they have received in response to their question. Dreams vary from the simple, “I want to have my first kiss”, to the daring, “I want to climb the seven summits before I turn seventeen”, to the heartbreaking, “I want to finally say good-bye to my four friends who were killed in a car accident”. Somewhere in this book, every reader will find a dream that resonates. This is a book that will jump out at a YA audience, especially reluctant readers. Not only does the title and cover create immediacy, but the stories contained within it are edgy and thought-provoking. At eight pages, the introduction is the longest stretch of text, while the rest of the accounts are absorbing one page reflections that are scattered between bold and colourfully illustrated pages. This book will inspire readers to step outside of the ordinary. Highly recommended: 4 out of 4 stars Reviewer: Jennifer Lunny Jennifer Lunny is a new teacher-librarian at Ballenas Secondary School on Vancouver Island. A former English and Social Studies teacher, she is excited to promote literacy in her new position. Finding that special book to connect with a student is one of the highlights of her job. She has spent the fall semester building the collection at her school with many of the titles that were proposed in this project.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".