Standing Up to Fracking: An evening with 'Slick Water' author Andrew Nikiforuk
Bibliographic record
Abstract
Investigative journalist Andrew Nikiforuk has been writing about Canada’s oil and gas industry for over 20 years. Now, in his new book Slick Water, Nikiforuk recounts the story of oil patch consultant-turned folk hero Jessica Ernst as she fights to save her land from the damaging effects of hydraulic fracturing.\n\nIn this live event, moderated by The Tyee’s founding editor, David Beers, Nikiforuk will share stories from his extensive reporting on Canada’s energy sector, including a history of the fracking industry and an account of how the industry has broken earthquake records in BC, Alberta and Oklahoma. Nikiforuk will also discuss his new book, Slick Water.\n\nAndrew Nikiforuk has been writing about the oil and gas industry for nearly 20 years and cares deeply about accuracy, government accountability, and cumulative impacts. He has won seven National Magazine Awards for his journalism since 1989 and top honours for investigative writing from the Association of Canadian Journalists.\n\nDavid Beers is the Tyee's founding editor. Under his leadership from  2003 to 2014, The Tyee's traffic grew to eclipse a million page views in a month and its team won many prizes including, twice, Canada's Excellence in Journalism Award, and, twice, the North America-wide Edward R. Murrow Award. He remains committed to the aim that gave rise to The Tyee - pursuing sustainable models for journalism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 teacher head, 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".