Do shifting demographics equal shifting values?: an analysis of values and aspirations of current and potential government communicators
Bibliographic record
Abstract
The original contribution to knowledge in this research portfolio is a better understanding of current and potential Generation Y employees within Canadian government communication and an exploration of the future values, beliefs and skills needed within this integral branch of government. In any democracy, government communicators are an essential link between a government and its citizens (Lee, 2008). Specifically, in Canada it is recognized that there is a need for an influx of new talent to the public service as Canada's population is getting older each year (Statistics Canada, 2012) and "Baby Boomers", that is, persons born between 1946 and 1964 (Tapscott, 2009), are retiring in great numbers (Public Service Commission, 2009). Staffing these positions with younger employees, particularly those born 1977 to 1997 (ages 14 34 when the surveys were conducted in 2011), commonly referred to as "Generation Y", is an integral component of current government recruitment and retention planning and policy. "Generation X", persons born 1965 to 1976, remain in the workplace and are also integral to understanding the generational dynamic within government. This doctoral portfolio for a higher research degree in professional communication comprises three interrelated research studies. The first two studies are exploratory in nature and use a descriptive, online survey to collect data which is analyzed using the predictive analytics software, Statistical Package for the Social Sciences (SPSS).
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".