<i>Journal of the Operational Research Society</i> (JORS): The last 40 years
Bibliographic record
Abstract
As the 75th anniversary of the Journal of the Operational Research Society (JORS) is celebrated, the opportunity is taken here for previous and current editors of the last 40 volumes to reflect on their experience. This is a companion paper to one written by Graham Rand that summarised the work of those editors who are no longer with us (1950–1984). In this second part covering the last 40 years of the 75 years of the journal’s existence, we will be providing the personal reflections of the past editors and the current ones. During this time a typical issue of the journal changed from containing eight papers in 100 pages, with several book reviews, to one containing 13 papers in 200 pages with no book reviews. It is worth noting, even though several journals were created as part of the OR Society journal portfolio, JORS retains its visibility and its position as the oldest and well-respected OR journal.
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 | 0.017 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.026 | 0.012 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.030 | 0.023 |
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".