Sixty Years of Boom and Bust: The Impact of Oil in North Dakota, 1958-2018
Bibliographic record
Abstract
In the 1950s, North Dakota experienced its first oil boom in the Williston Basin, on the western side of the state. The region experienced unprecedented social and economic changes, which were carefully documented in a 1958 report by four researchers at the University of North Dakota. Since then, western North Dakota has undergone two more booms, the most recent from 2008 to 2014. Sixty Years of Boom and Bust republishes the 1958 report and updates its analysis by describing the impact of the latest boom on the region’s physical geography, politics, economics, and social structure. Sixty Years of Boom and Bust addresses topics as relevant today as they were in 1958: the natural and built environment, politics and policy, crime, intergroup relations, and access to housing and medical services. In addition to making hard-to-find material readily available, it examines an area shaped by resource booms and busts over the course of six decades. As a result, it provides unprecedented insight into the patterns of develop- ment and the roots of the challenges the region has faced. Kyle Conway is an associate professor of communication at the University of Ottawa.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".