Bibliographic record
Abstract
Diane Kayongo-Male, reviewerRural Health and Aging Research: Theory, Methods, and Practical ApplicationsWilbert M. Gesler, Donna J. Rabiner, and Gordon H. DeFriese, editors Geoffrey Grant, reviewerCutting Into the Meatpacking Line: Workers and Change in the Rural MidwestDeborah Fink Jerome R. Rosonke, reviewerBorn Hutterite (video tape)Black Hat Production Laura Colmenero, reviewerCapturing Women: The Manipulation of Cultural Imagery in Canada's Prairie WestSarah Carter Ellen Baird, reviewerAmerican Indian Ethnic Renewal: Red Power and the Resurgence of Identity and CultureJoane Nagel Mary Warner, reviewerDurable InequalityCharles Tilly Jack Niemonen, reviewerCulture of Intolerance: Chauvinism, Class, and Racism in the United StatesMark Cohen David A. Lopez, reviewerDiversity in the Power Elite: Have Women and Minorities Reached the Top?Richard L. Zweigenhaft and G. William Domhoff Kathi Rangel-Wrono, reviewerThe Future of Ethnicity, Race, and NationalityWalter L. Wallace William Du Bois, reviewerCrime and Punishment in America: Why the Solutions to America's Most Stubborn Social Crisis Have not Worked - and What WillElliot Currie Elizabeth A. Gill, reviewerModern Social Theory: Key Debates and New DirectionsDerek Layder Cindi Peno Ceglian, reviewerAdoption, Identity, and Kinship: The Debate Over Sealed Birth RecordsKatrina Wegar Susan L.Schrader, reviewerElders' Views on the Right to Die: Facilitating Decisions About Life Sustaining TreatmentCarol Ann Baer Thomas C. Langham, reviewerCritical Choices: Applying Sociological Insight in Your Life, Family, and CommunityScott Sernau
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.548 | 0.516 |
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".