Funding Mechanisms, Cost Drivers, and the Distribution of Education Funds in Alberta: A Case Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines the impact that the 1994 funding changes introduced by the Alberta government have had on the Calgary Board of Education (CBE)—the largest urban board in Alberta and one of the largest boards in Canada. Starting from a critical financial analysis perspective we ather, examine, and recalculate key historical financial data pertaining to the CBE, contextualizing these data through the use of supplementary nonfinancial archival materials. Our analysis highlights the impact that funding changes have had on the CBE, but also indirectly tells us something about the impact on other school boards in the province, because the total amount of per-student education funding has remained relatively constant. More generally, the analysis illustrates how funding mechanisms can be and are used to govern from a distance and how seemingly neutral accounting/funding techniques function to distribute resources among different school boards. By drawing attention to these distributional effects, the current study makes visible the power of largely invisible funding mechanisms in the sphere of public education.
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.
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 | 0.000 | 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) | 0.000 | 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 it