Bibliographic record
Abstract
Book reviewed in this article: Corynne McSherry. Who Owns Academic Work? Battling for Control of Intellectual Property. Dick Grote. The Performance Appraisal Question and Answer Book: A Survival Guide for Managers. DeAnne Rosenberg. Hiring the Best Person for Every Job: Facilitator's Guide, and Hiring the Best Person for Every Job: Participant Workbook. Barrie Gunter and Adrian Furnham. Assessing Business Potential: A Biodata Approach. Robert Hogan and Robert Smither. Personality: Theories and Applications. J.R. Hackman. Leading Teams: Setting the Stage for Great Performances. Frank LaFasto and Carl Larson. When Teams Work Best: 6,000 Team Members and Leaders Tell What it Takes to Succeed. P. Christopher Earley and Cristina B. Gibson. Multinational Work Teams. Mark Allen (Editor). The Corporate University Handbook: Designing, Managing, and Growing a Successful Program. William J. Rothwell. The Workplace Learner: How to Align Training Initiatives with Individual Learning Competencies. W. Warner Burke. Organization Change: Theory and Practice. Peter Reason and Hilary Bradbury (Editors). Handbook of Action Research: Participative Inquiry and Practice. Charles Ransom Schwenk. Identity, Learning, and Decision Making in Changing Organizations. A. Bar‐Haim. Participation Programs in Work Organizations: Past, Present, and Scenarios for the Future. Peter Herriot. The Employment Relationship: A Psychological Perspective. A.D. Amar. Managing Knowledge Workers: Unleashing Innovation and Productivity. Kenneth Cloke and Joan Goldsmith. The End of Management and the Rise of Organizational Democracy. Rob Lebow and Randy Spitzer. Accountability: Freedom and Responsibility Without Control. E. Appelbaum, T. Bailey, P. Berg, A. L. Kalleberg. Manufacturing Advantage: Why High‐Performance Work Systems Pay Off. The Emirates Center for Strategic Studies and Research. Leadership and Management in the Information Age. Theresa K. Lant and Zur Shapira (Editors). Organizational Cognition: Computation and Interpretation. Stephen G. Post, Lynn G. Underwood, Jeffrey P. Schloss, and William B. Hurlbut (Editors). Neal M. Ashkanasy, Wilfred J. Zerbe, and Charmine E.J. Hartel (Editors). Managing Emotions in the Workplace.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.641 | 0.632 |
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".