Preparing Students for the Transition from College to Work
Bibliographic record
Abstract
The purpose of this study was to examine the perceived preparedness of college students for the transition from college to full-time employment. The study was concerned with the interest and rationale behind developing a required Exit Course for college students in order to improve the college to work transition. As well, possible content of an Exit Course was evaluated. The importance of addressing college to work transitions is highlighted by two phenomena. First, there are specific employability skills that employers in Canada are seeking in newly hired employees. Second, the provincial government in Ontario is determining college funding based on graduate employment statistics which are measured by graduate satisfaction, graduate employment, and employer satisfaction. The research concentrated on the following stakeholders involved in the transition from college to work: (a) current students, (b) recent graduates, (c) support staffwho assist students in college to work transition (Career Educators), and (d) employers. Through qualitative research, including focus groups and interviews, these stakeholder groups participated in the research to determine if the Exit Course was a viable solution to facilitate the transition from college to work. Focus groups were conducted with current students, while one-on-one, semi-structured interviews were conducted with recent graduates, Career Educators, and employers. Common themes elicited from the participants included the following: (a) although students were perceived by the participants of this study to be technically prepared for employment, they were perceived to have weak job search skills and i;^tlV:v:fA:J:U-^i»'*w'^'"'
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".