Bibliographic record
Abstract
Co-founder Emerita of Authentic Connections, Founder of Authentic Connections Groups, and Professor Emerita at Columbia University's Teachers College, Suniya Luthar passed away on February 16, 2023. Suniya was born on December 9, 1958, in New Delhi, India, where she studied for BA (1978) and MA (1980) degrees and served as a lecturer on child development (1981-1984), all at Lady Irwin College. After decades of studying youth across the economic spectrum, Suniya concluded that ultimately children's ability to be resilient is most linked to their mother's well-being and that became the final focus of her empirical and community work. Suniya initiated several projects to support mothers. They include a relational group therapy for low-income mothers with histories of addiction and serious mental illness and the Authentic Connections Groups program, an evidence-based supportive community intervention that has been successfully used in hospitals, schools, and university settings. Suniya used to say that, even as a young child, she was sensitive to the psychological pain of others and decided at the age of 15 to help children in distress. She certainly accomplished that goal. As testaments to her vast scholarly contributions to the well-being of children and their families, Suniya received numerous awards and honors. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.009 |
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; both teacher heads agree on what is shown here.
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".