Voices Unheard: Exploring the Caregiver Experience for Caregivers of Emerging Adults with Mental Illness
Bibliographic record
Abstract
The purpose of this study was to obtain perspectives from caregivers of emerging adults (ages 16–25) who were accessing mental health care services. Using constructivist grounded theory, nine caregivers participated in focus groups or individual interviews. Results suggest that caregivers' experiences centered on three areas: the emotions that they experienced (having frustration, feeling burdened, not being helped, and perceiving a lack of options), the actions that they took in their caregiver role (care facilitation and advocacy), and the external forces that perpetuated negative emotions and adversely impacted caregiver ability to facilitate and advocate (crisis-driven system, wait times, and substance misuse). Findings illustrate the impact of external forces on caregiver feelings and actions, reflecting a system that perpetuates the cycle of wait times and helplessness.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".