ERIC ED477400: Employer of Choice? Workplace Innovation in Government: A Synthesis Report.
Bibliographic record
Abstract
The Human Resources in Government project examined the impact of extensive downsizing and restructuring in Canada's public service sector and sought innovative ways of making Canada's governments "employers of choice." The project focused on Canada's federal government and the governments of Alberta, Manitoba, Ontario, and Nova Scotia. The project's main finding was that Canada's government agencies must become more flexible, knowledge-intensive, and learning-based workplaces. The project established that, as of the late 1990s, the five governments studied had not moved very far on creating the conditions enabling more innovative approaches to work organization and human resource management. Although training and information technology were generally in place, some of the governments and work units studied were lagging behind. Although innovative workplace practices were progressing at a fairly impressive pace when compared to the private sector, there remained a large untapped potential for organizational reform to improve the quality of working life and contribute to workforce renewal. The importance of building knowledge-based organizations, implementing creative recruitment and retention strategies, creating rewarding work environments, and resolving compensation dilemmas was emphasized. (A discussion of the design and methodology of the Human Resources in Government Project is appended. Fifty-seven endnotes and the names/addresses of the project's advisory committee members are included.) (MN)
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How this classification was reachedexpand
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) | 0.115 | 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 teacher head, 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".