Bibliographic record
Abstract
Much of the waste in public administration is ascribable to the displacement of the primary concern for performance and coordination by a primary concern for redistribution. In each sphere of activities, it has led to unreasonable rules inspired by egalitarianism that have triggered permanent allocational malefits. The failure to confront the progressivist ethos and culture has rendered any action on the managerial front ineffective. First, the authors underscore the seemingly unanimous diagnosis of waste and dysfunctions in Canada’s federal public service and show that efforts to correct the situation have failed. This failure is ascribable to a fundamental incapacity to deal concurrently with the ill-advised managerial decisions of governments and the perverse progressivist philosophy inspiring them. Second, an MRI of the human resource (HR) regimes has been sketched as a guide to the detoxing and modernization of the HR regimes. It was used to spell out some guidelines for the modification of management structures and competencies, and to probe the cultural underground of moral contracts that would need to underpin the new arrangements.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.024 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".