Eric J. Hanson's Financial History of Alberta, 1905-1950
Bibliographic record
Abstract
Eric Hanson - Alberta’s first, and arguably greatest, economist - wrote a number of influential books on federal-provincial relations, education finance, health care finance, and energy economics. In 1949, he took a leave from the University of Alberta, where he was a lecturer, to write his PhD at Clark University in Worchester, Massachusetts. His doctoral thesis was entitled A Financial History of Alberta, 1905-1950 and was found by Paul Boothe at the University of Alberta library while Boothe was doing research on Alberta government spending almost forty-five years after it was written. Upon reading the thesis, Boothe quickly became aware of the enormous value of Hanson’s work as a source of data and as a chronicle of Alberta’s history. This “forgotten gem” sheds light on the institutional, economic, and public development of the province from a financial perspective and documents many of the early financial decisions of the Alberta government, including the railway scandal, the rise of Social Credit, and the province’s default in the Great Depression. With a detailed and analytical introduction, this edited work provides historical perspective on the perennial problems facing Alberta’s fiscal managers: wildly fluctuating revenues, in-migration, seemingly insatiable demands for infrastructure, high-quality public services, and resistance to taxes while exuding an optimistic attitude for the future. Providing institutional, political, and social background needed to better understand current institutions, political choices, and societal biases and anxieties, this book should be required reading for present-day policy-makers, elected provincial officials, teachers, and students of public finance.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".