Bibliographic record
Abstract
Aliens Act, 2000 (Denmark) 116-17 America see United States Antonovsky, A. 160 asylum seekers 115, 116, 117, 120n3 see also ethnic minorities attention deficit hyperactivity disorder (ADHD) 44, 45, 46, 48 see also behavioural problems B Bak, M. 155 battered women/wives see domestic violence behavioural problems ADHD 44, 45, 46, 48 in children 91, 92, 131-3, 150, 155-6, 157, 159 see also health problems Björnberg, U. 4-5 Board for Ethnic Equality (Denmark) 118 Britain see United Kingdom Bristol Poverty Line Survey (UK) 9C Canada domestic violence 145 child abuse 31, 33, 37-9, 49, 97, 106, 123, 124, 129-30, 138-9, 142, 143 cycle of 150-51 impact of 149-51, 152 policy issues in 165-6 see also domestic violence child care see day care child custody 98, 99, 100, 102, 104, 105, 108, 113-14, 137-8, 142, 147-9, 167 visitation rights 128, 145, 147-9, 167 child poverty 8, 9 child/family allowances 8, 97, 111, 189 Child Support Act, 1991 (UK) 11 children 1, 2, 3, 4-5, 6, 7, 23-5, 183-8 behavioural problems 4, 45, 46, 48, 91, 92, 131-3, 150, 155-6, 157, 159 boys 21, 30-37, 43-7, 50, 52-60, 65-9, 88, 89-95, 108-9, 122-35, 136-41, 150 education 34, 36-7, 43-4, 46, 47, 58, 59, 139, 157, 166; see also day care as ethnic minorities 88, 89-95, 102-5, 108-9, 115 fathers see fathers girls 73-7, 102-5 health problems 27, 29, 30-31, 32, 33, 35-6, 38, 41, 43, 52-3, 55-7, 59, 88, 92-3, 159-60 homelessness among 6, 7, 8, 27, 134 language/speech development 53, 54, 91 play/recreational activities 36-7, 53-4, 59, 66, 67, 93-4 psychological evaluation 44, 66, 139 see also family relationships/ networks children's rights 11, 152, 166-7 colonialism 119 communal housing 64, 69-70, 72, 75, 86, 155, 164-5 see also housing conditions Cooper, Y. 9 crisis centres 27, 30, 40, 41,
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.835 | 0.742 |
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".