A FOLLOW-BACK OF MEN AND WOMEN WHO GREW UP IN
Bibliographic record
Abstract
Abstract. Abandonment and institutionalization were studied retrospectively in 55 men and 20 women who had grow up in orphanages. The major causes of abandonment was being born by a single/unmarried mother or by poor parents. Family adversity and parental dysfunction was the major cause of only one fourth of the abandonments. More than half of abandoned children were admitted during the first six months of life, and only one quarter after age three. The average time spent in orphanages was 14 years for boys and 17 years for girls. No more than 25 % of the boys and 12 % of the girls were keeping in contact with the family during in-care. As many as 73 % of the boys and 41 % of the girls were physically abused and 23 % of the girls and 17 % of the boys were sexually abused in the orphanage. Key words: abandonment of children, institutionalized children, physical abuse, sexual abuse, orphanages, dystrophics Rezumat. Abandonul şi instituţionalizarea au fost studiate retrospectiv pe un lot de 55 bărbaţi şi 20 femei care au crescut în orfelinate. Principalele cauze ale abandonului au fost sărăcia şi părintele unic. Adversităţile familiale şi disfuncţionalităţile au determinat numai un sfert din totalul abandonurilor. Peste jumătate din copiii abandonaţi au fost internaţi în primele 6 luni de viaţă şi numai un sfert din ei după vârsta de 3 ani. Perioada medie de timp petrecută în
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".