Bibliographic record
Abstract
Preface Acknowledgments PART I RESOLVING BARGAINING IMPASSES Public Sector Mediation: Some Observations on Technique Jonathan S. Liebowitz Implications for Fact Finding: The New Jersey Experience William R. Word Fact Finding in the Public Sector: A Proposal to Strengthen the Fact Finder's Role Harold P. Seamon A Suggested Remedy for Refusal to Bargain in the Public Sector: Final Offer Arbitration Howard Bellman and Harry Graham The Need for Compulsory Arbitration M.J. Fox and L.B. McDonald Compulsory Arbitration Versus Negotiations for Public Safety Employees: The Michigan Experience Robert H. Bezdek and David W. Ripley The Effect of Compulsory Arbitration on Collective Negotiations J. Joseph Loewenberg Mechanisms for Resolving Collective Bargaining Impasses in Public Education Harry A. Becker PART II RESOLVING STRIKES Public Sector Strike-Prevention: Let the Taxpayer Decide J.H. Foegen Quasi-Strikes by Public Employees Paul D. Staudohar Public Employee Bargaining Laws and the Propensity to Strike: Case of the Public School Teachers Robert J. Thornton and Andrew R. Weintraub PART III RESOLVING GRIEVANCES The Public Employee and Arbitration Robert Coulson Arbitrating a Grievance John B. Hogan The Impact of Statutory Law on Contract Interpretation in Public Education Grievance Arbitration Kurt H. Decker How Impartial is Impartial Arbitration When it Involves Public School Teachers? Harry Kershen The Canadian Approach to Grievance Adjudication in the Public Sector E. Edward Herman
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".