Properly planned de-institutionalisation for mental illness maintained most in community living with enhanced quality of life
Bibliographic record
Abstract
Newton L, Rosen A, Tennant C , et al. Deinstitutionalisation for long-term mental illness: an ethnographic study. Aust N Z J Psychiatry2000 Jun; 34 : 484 –90 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: What effects does de-institutionalisation have on the lives of residents who were admitted to hospital because of long term mental illness? Ethnography. Northern Sydney Area Health Service, Australia. 47 hospital residents (hospitalised from 2-43 y) transferred to the community to stay in residential facilities in middle to upper class areas. Data were collected using participant observational fieldwork, open ended and semistructured interviews, life history taking and perusal of written records. Fieldwork occurred on a daily basis over a 2.5 year period, approximately 8 months before hospital discharge and then 2 years after discharge. Data collection comprised daily field note taking, audiotaped interviews, and summaries of case records. Ethnographic themes were generated from observations occurring during the study. Initially residents had to acquire new functional living skills … [1]: {openurl}?query=rft.jtitle%253DAustralian%2Band%2BNew%2BZealand%2BJournal%2Bof%2BPsychiatry%26rft.stitle%253DAust%2BN%2BZ%2BJ%2BPsychiatry%26rft.aulast%253DNewton%26rft.auinit1%253DL.%26rft.volume%253D34%26rft.issue%253D3%26rft.spage%253D484%26rft.epage%253D490%26rft.atitle%253DDeinstitutionalisation%2Bfor%2BLong-Term%2BMental%2BIllness%253A%2BAn%2BEthnographic%2BStudy%26rft_id%253Dinfo%253Adoi%252F10.1080%252Fj.1440-1614.2000.00733.x%26rft_id%253Dinfo%253Apmid%252F10881973%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=10.1080/j.1440-1614.2000.00733.x&link_type=DOI [3]: /lookup/external-ref?access_num=10881973&link_type=MED&atom=%2Febnurs%2F4%2F2%2F63.atom [4]: /lookup/external-ref?access_num=000087555400013&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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".