“I don't feel fully prepared”: a qualitative study of recently graduated students' mental health experiences of the transition out of university
Bibliographic record
Abstract
OBJECTIVE: This study aimed to better understand the mental health experiences of students as they prepared to transition out of university. PARTICIPANTS: Participants included 18 recently graduated students from a Canadian university. METHODS: Virtual one-on-one semi-structured qualitative interviews were conducted and analyzed following the protocol for content analysis and using QSR NVivo. RESULTS: Four main themes were identified, including: distress and feelings of doubt, the importance of connections, the impact of the COVID-19 pandemic, and experiences with mental health service use. Participants discussed feeling pressured to succeed and a fear of failure, uncertainty and unpreparedness for next steps, the importance of connections to peers and professors, a lack of motivation and feeling 'unfinished' due to the COVID-19 pandemic response, and the need for flexible and accessible mental health services to address immediate and longer-term needs. CONCLUSION: Results have implications for better support of students as they prepare for graduation.
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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 | 0.001 | 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) | 0.000 | 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 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".