Bibliographic record
Abstract
In October 2006, Edmonton became the first city in Canada to host a literary festival completely devoted to the genre of creative nonfiction. Edmonton LitFest – the shorthand title for the Edmonton International Literary Festival – remains one of the few festivals in the world to address the themes, content, and issues inherent in the amorphous writing style that has embraced such names as Gonzo journalism, participatory journalism, memoir, life writing and literary journalism. The 2007 edition of Edmonton LitFest, taking the theme of Hot North!, was expanded to four days, Oct. 11-14, 2008, with a focus on adventure, aboriginal peoples, resources and exploration, exile and lost souls, and climate change and environment. The authors on the international guest list included Edith Iglauer, Rudy Wiebe, Barbara Kingscote, Susan Aglukark, George Monbiot, Andrew Nikiforuk, Elizabeth Kolbert, Nancy Wachowich, Rhoda Katsak, Tom Radford, Janice Williamson, Joyce Dene, Debbie Marshall, Ken McGoogan, David Solway, Anthony Dalton, and Melanie McGrath.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.053 | 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".