Bibliographic record
Abstract
Dear readers,
 Thank you for showing interest in the publication of Volume 11, number 2 of the Contemporary Educational Researches Journal. The aim of this issue was to collate high standard articles that reflected methods of enhancing educational quality. Based on this aim, five high standard articles were selected after a thorough review process.
 The selected papers which represented topics from Canada, Bangladesh, Malaysia, Lebanon and North Cyprus included the following: “Determining the reasons for private schools preference and a case study in TRNC”; “Practices of online teaching, learning and assessment of the students of the BSc in EEE programme during the COVID-2019 pandemic”; “Impact of adding mindfulness practices to a bachelor of social work direct practice course”; “Professional Development of Mathematics Teacher: A Systematic Literature Review”; “The Role of Implementing KPIs to the Faculty Members in enhancing Higher Education Quality in Lebanon”.
 This issue was a success, and the aim of the publication was achieved. Thus, we would like to thank all our contributors for their devotion in making this journal excel. Dear reader, enjoy reading!!
 Best regards
 Assoc. Prof. Dr. Deniz Ozcan,
 Editor in Chief
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".