Bibliographic record
Abstract
The central objective of creating the Journal of Contemporary Issues in Education was to establish an interdisciplinary forum for discussions and criticisms that pertain to the general areas of educational and social development research and analysis.This idea and its practical results, which at least for this endeavor, begin with the online publication of this first issue of the journal did not, of course, begin, academically speaking, in a detached writing or analytical domain.Indeed, the journal's overall perspective is to selectively respond to the realities of the academic department in which it is located.The Department of Educational Policy Studies at the University of Alberta is an interdisciplinary department that houses several areas of study that especially pertain to Adult Education, Educational Administration and Leadership, Indigenous People's Education, and Theoretical, Cultural and International Studies in Education.While this first issue may not contain articles or ideas from all four areas (and that is not the objective of any one issue or volume), it, nevertheless, espouses a generalist foci that bring together discussions and analyses that deal with learning and life areas that are immediate and that should add a lot to our continuing discursive and pragmatic relationships with educational programs and global human development.
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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.162 | 0.077 |
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".