Bibliographic record
Abstract
Citation (2015), "Editorial Board", Advances in Taxation (Advances in Taxation, Vol. 22), Emerald Group Publishing Limited, Bingley, pp. ix-x. https://doi.org/10.1108/S1058-749720150000022010 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited John Hasseldine, Editor University of New Hampshire, USA Kenneth Anderson University of Tennessee, USA Bryan Cloyd Lehigh University, USA Anthony P. Curatola Drexel University, USA Charles Enis Pennsylvania State University, USA Pete Frischmann Oregon State University, USA Norman Gemmell Victoria University of Wellington, New Zealand Peggy A. Hite Indiana University-Bloomington, USA Kevin Holland Cardiff University, UK Khondkar Karim University of Massachusetts Lowell, USA Beth B. Kern Indiana University-South Bend, USA Erich Kirchler University of Vienna, Austria Stephen Liedtka Villanova University, USA Alan Macnaughton University of Waterloo, Canada Amin Mawani York University, Canada Janet A. Meade University of Houston, USA Emer Mulligan National University of Ireland Galway, UK Lynne Oats University of Exeter, UK Grant Richardson University of Adelaide, Australia Robert Ricketts Texas Tech University, USA Michael L. Roberts University of Colorado-Denver, USA Timothy Rupert Northeastern University, USA David Ryan Temple University, USA Toby Stock Ohio University, USA Marty Wartick University of Northern Iowa, USA Christoph Watrin University of Muenster, Germany Book Chapters Advances in Taxation Advances in Taxation Advances in Taxation Copyright Page List of Contributors Editorial Board Introduction Procedural Justice for All: a Taxpayer Rights Analysis of Irs Earned Income Credit Compliance Strategy The Effect of Federal-State Conformity on Taxpayer Decisions Does College Savings Plan Performance Matter? The Effects of Jointly Provided Tax Services and Auditor Size on Restatements Inherent Outcome-Favorable Biases and Mitigating Effects of Principles-Based Standards: A Study of Accounting Students’ Tax Decisions The Effect of Detection Risk on Uncertain Tax Position Reporting: Experimental Evidence
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 | 0.007 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.263 | 0.271 |
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".