Parents of young people with mental health problems experienced a deskilling and had to learn to reskill themselves
Bibliographic record
Abstract
Harden J. “Uncharted waters”: the experience of parents of young people with mental health problems. Qual Health Res 2005;15:207–23.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What are the experiences of parents who care for a young person with mental health problems? Qualitative study using semistructured, indepth interviews. UK. 25 parents (18 mothers, 7 fathers) of 18 young people (13–16 y of age) with mental health problems. All families were white and had various socioeconomic backgrounds. Parents were interviewed about the following topics: the nature of their child’s problem; relationships with health professionals; implications for their lifestyle, health, employment, and education; impact on the family; and coping. Interviews were audiotaped, transcribed, and analysed qualitatively using an interpretive inductive approach. Parental deskilling: (1) Not being listened to by the medical profession. Parents felt their role was challenged because they were unfamiliar with mental health problems and had to rely on experts for explanations. When they sought help to overcome their inexperience, it was not always forthcoming, which led to feelings of isolation, abandonment, and self doubt. Their confidence was undermined when they were … [1]: {openurl}?query=rft.jtitle%253DQualitative%2BHealth%2BResearch%26rft.stitle%253DQual%2BHealth%2BRes%26rft.aulast%253DHarden%26rft.auinit1%253DJ.%26rft.volume%253D15%26rft.issue%253D2%26rft.spage%253D207%26rft.epage%253D223%26rft.atitle%253D%2522Uncharted%2BWaters%2522%253A%2BThe%2BExperience%2Bof%2BParents%2Bof%2BYoung%2BPeople%2BWith%2BMental%2BHealth%2BProblems%26rft_id%253Dinfo%253Adoi%252F10.1177%252F1049732304269677%26rft_id%253Dinfo%253Apmid%252F15611204%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1177/1049732304269677&link_type=DOI [3]: /lookup/external-ref?access_num=15611204&link_type=MED&atom=%2Febnurs%2F8%2F4%2F125.atom [4]: /lookup/external-ref?access_num=000226368200005&link_type=ISI
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".