Bibliographic record
Abstract
Contents: K.W. Schaie, Preface. Part I:Informal Systems of Care. S.H. Zarit, Introduction to Part I. E. Yu, W.T. Liu, Z-Y. Wang, P.S. Levy, R. Katzman, M-Y. Zhang, G-Y. Qu, F-F. Chen, Caregivers of the Cognitively Impaired and the Disabled in Shanghai, China. L.C. Yu, Intergenerational Transfer of Resources Within Policy and Cultural Contexts. L.M. Burton, S. Sorensen, Temporal Context and the Caregiver Role: Perspectives from Ethnographic Studies of Multigeneration African-American Families. R. Morycz, Caregiving Families and Cross-Cultural Perspectives. W.R. Avison, R.J. Turner, S. Noh, K.N. Speechley, The Impact of Caregiving: Comparisons of Different Family Contexts and Experiences. A.M. Matthews, Issues in the Examination of the Caregiving Relationship. R. Schulz, G.M. Williamson, R. Morycz, D.E. Beigel, Changes in Depression Among Men and Women Caring for an Alzheimer's Patient. M.A. Smyer, Caregiving Research: Juggling While Walking. L.I. Pearlin, S.H. Zarit, Research into Informal Caregiving: Current Perspectives and Future Directions. Part II:Formal Systems of Care. S.H. Zarit, Introduction to Part II. C. Harrington, Social Health Maintenance Organizations: An Innovative Financing and Service Delivery Model. D. Brannon, Are SHMOs Remedies to Bureaucracy? G. Niederehe, Public Policy Issues Related to the SHMO Demonstrations and Alzheimer's Disease. L. Levesque, Quebec Home-Care Services: A Program at the Local Community Level. C.J. Whitlatch, The Direction of Home-Based Community Care in Quebec: The Effects on Caregiving Families. J.T. Mullan, Barriers to the Use of Formal Services Among Alzheimer's Caregivers. M.A.P. Stephens, Understanding Barriers to Caregivers' Use of Formal Services: The Caregiver's Perspective. R.A. Kane, J.D. Penrod, Family Caregiving Policies: Insights from an Intensive Longitudinal Study. A.L. Townsend, Methodological Issues Confronting Research on Service Use Among Caregiving Families. S.H. Zarit, L.I. Pearlin, Family Caregiving: Integrating Informal and Formal Systems for Care.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.119 | 0.026 |
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".