Bibliographic record
Abstract
Abstract Unconditional Care in Context examines the multiple, interacting social adversities that confront system-involved families and children and argues that intervention with these young people regularly fails to acknowledge the effects of these challenges. Assessment and treatment practices often focus only on relational and behavioral forces at work within individual children and their families. The book reviews the ways in which intervention in the child welfare, public behavioral health, education, and juvenile justice systems omits the daily realities of lives that are constrained and disrupted by the injuries of racism, the limitations imposed by poverty, the threat of eviction and homelessness, the danger of community violence and crime, and the compounding effects of social disconnection and isolation. These challenges never operate in isolation and are never brief or fleeting. Instead, for many system-involved families they are chronic and cumulative and amplify each other. They also can infiltrate internal life and undermine the developing child’s sense of personal agency and value. Unconditional Care in Context reviews the tangled effects of multiple social adversities and offers a roadmap to reclaiming these problems as appropriate, vital concerns of human service agencies and their workers. It offers concrete recommendations for “ecologically informed practice” at the level of the family, at the level of schools and communities, and at the level of state and national policy. Current examples of program innovations and policy initiatives that move in this direction are reviewed.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.034 | 0.005 |
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".