Commemorating 30 years of ICED: embracing academic development’s rich past, challenging present, and emerging future(s)
Bibliographic record
Abstract
This essay celebrates the 30th anniversary of the International Consortium for Educational Development (ICED), the parent organization of the International Journal of Academic Development (IJAD). To commemorate the anniversary of ICED, formed in 1993, IJAD co-editors invited a reflective dialogue with Dr. Kasturi Behari-Leak and Dr. Donna Ellis, who were serving as ICED President and President-Elect, respectively, in 2023. Dr. Behari-Leak and Dr. Ellis discuss their own positionalities in the Global South and North, as well as how they define academic and educational development in their respective contexts. The essay reflects on continuities and changes in the field, including an increasing emphasis on diversity, equity, inclusion, de-colonisation, and justice. They end with forecasting trends and areas of growth in academic and educational 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 | 0.014 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.029 |
| Scholarly communication | 0.038 | 0.022 |
| Open science | 0.001 | 0.021 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".