Do shifting demographics equal shifting values?: an analysis of values and aspirations of current and potential government communicators
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
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).
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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