Bibliographic record
Abstract
The Diagnostic and Statistical Manual 5th Edition (DSM-5) classifies reactive attachment disorder as a trauma- and stressor-related condition of early childhood caused by social neglect or maltreatment. Affected children have difficulty forming emotional attachments to others, show a decreased ability to experience positive emotion, cannot seek or accept physical or emotional closeness, and may react violently when held, cuddled, or comforted. Behaviorally, affected children are unpredictable, difficult to console, and difficult to discipline. Moods fluctuate erratically, and children may seem to live in a “flight, fight, or freeze” mode. Most have a strong desire to control their environment and make their own decisions. Spontaneous changes in the child's routine, attempts to discipline the child, or even unsolicited invitations of comfort may elicit rage, violence, or self-injurious behavior. In the classroom, these challenges inhibit the acquisition of core academic skills and lead to rejection from teachers and peers alike. As they approach adolescence and adulthood, socially neglected children are more likely than their neuro-typical peers to engage in high-risk sexual behavior, substance abuse, involvement with the legal system, and experience incarceration.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".