Alberta’s Lower Athabasca Basin: Archaeology and Palaeoenvironments
Bibliographic record
Abstract
Over the past two decades, the oil sands region of northeastern Alberta has been the site of unprecedented levels of development. Alberta's Lower Athabasca Basin tells a fascinating story of how a catastrophic ice age flood left behind a unique landscape in the Lower Athabasca Basin, one that made deposits of bitumen available for surface mining. Less well known is the discovery that this flood also produced an environment that supported perhaps the most intensive use of boreal forest resources by prehistoric Native people yet recognized in Canada. Studies undertaken to meet the conservation requirements of the Alberta Historical Resources Act have yielded a rich and varied record of prehistoric habitation and activity in the oil sands area. Evidence from between 9,500 and 5,000 years ago—the result of several major excavations—has confirmed extensive human use of the region’s resources, while important contextual information provided by key geological and palaeoenvironmental studies has deepened our understanding of how the region’s early inhabitants interacted with the landscape.Touching on various elements of this rich environmental and archaeological record, the contributors to this volume use the evidence gained through research and compliance studies to offer new insights into human and natural history. They also examine the challenges of managing this irreplaceable heritage resource in the face of ongoing development.Contributors: Alwynne Beaudoin, Angela Younie, Brian O.K. Reeves, Duane Froese, Elizabeth Roberston, Eugene Gryba, Gloria Fedirchuk, Grant Clarke, John W. Ives, Janet Blakey, Jennifer Tischer, Jim Burns, Laura Roskowski, Luc Bouchet, Murray Lobb, Nancy Saxberg, Raymond LeBlanc, Robert R. Young, Robin Woywitka, Thomas V. Lowell, and Timothy Fisher
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 | 0.002 | 0.008 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".