Reviewer Acknowledgements for International Journal of Contemporary Education, Vol. 8, No. 2
Bibliographic record
Abstract
International Journal of Contemporary Education (IJCE) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether IJCE publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 8, Number 2Aurora Q. Pestano, University of San Jose Recoletos, PhilippinesBlessing Dwumah Manu, University of Saskatchewan, CanadaBožić-Lenard Dragana, University of Osijek Croatia, CroatiaDina Radeljas, Mohawk Valley Community College, USAEdward Bolden, Case Western Reserve University, USAInaad M Sayer, University of Human Development, IraqIvan Lenard, Elementary School Ladimirevci, CroatiaMatthew Schatt, University of Florida, USAVassiliki Pliogou, University of Western Macedonia, Greece William OscarEditorial AssistantInternational Journal of Contemporary Education------------------------------------------------------------Redfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USATel: 1-503-828-0536 ext. 509Fax: 1-503-828-0537E-mail 1: ijce@redfame.comE-mail 2: ijce@redfame.orgURL: http://ijce.redfame.com
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 | 0.034 | 0.384 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.087 | 0.053 |
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".