Bibliographic record
Abstract
Ten years ago, the world was quite a different place with the devastation of a 7.0 magnitude earthquake in Haiti, the exuberance of the 2010 Winter Olympics in Vancouver, the release of the first iPad, the launch of Instagram, and the beginning of Arab Spring. Fast forward to 2020 and not only is it the 10th anniversary of the Journal of International Students, but the world is facing unprecedented times with a global pandemic that has illustrated the interconnectedness of humankind like never before. We have all been reminded of the power of human connection as we experience isolation, confinement, social distancing, and even fear. We have witnessed powerful images of front-line workers giving their all, and neighbors in cities and towns across the world connecting from balconies and through windowpanes. These images have reminded us how much our lives depend on those around us, and how important it is that we renew our efforts in learning how to live together.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.024 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.061 | 0.045 |
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".