Millennial Employees' Expectations of the Workplace: A Case Study of Humber College
Bibliographic record
Abstract
The purpose of this study was to explore and describe whether what the Millennial employees (employees born between January 1, 1981 and December 31, 2000) who participated in the study wanted in the workplace aligned with what is currently offered in the Ontario Colleges of Applied Arts Technology (CAAT) system. More specifically, the study examined if the Millennials who currently worked at the CAAT that was the site of this study (Humber College Institute of Technology and Advanced Learning), felt the current "terms and conditions" of employment met their needs, and if not, what were their suggestions on changes that might be made to better meet their expectations.I used a convergent parallel mixed methodology research design for this study with the intention to provide Humber leaders with the perspectives of their youngest employees on the current "terms and conditions" of employment and provide recommendations on if and/or how changes could be made to better meet these employees' needs. By including the perspectives from three key sources of information in this study, that is, Millennial employees, Human Resources leaders, and document analysis, the findings provided a deeper understanding of the issues explored.The conclusions and recommendations drawn from this study suggest that there are many opportunities for college leaders to re-examine policies and practices that are currently in place for college employees. Many suggestions and recommendations were made in each of the five main categories measured: Financial Rewards; Recognition; Skill Development; Career Development; and Quality of Work/Life.The study findings may inform policy and practice that will create an environment that is conducive to attracting and retaining the best faculty, support staff and administrators so that the Ontario Colleges of Applied Arts and Technology can meet the mandate set out for them by the provincial government.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".