Bibliographic record
Abstract
The Stonecutter’s Creedo, a tenet from the writings of Jacob A. Riis, has been the mantra of the San Antonio Spurs for over 20 years and its 5 NBA championships. The belief that the 100th blow by the stonecutter’s hammer is not the culprit of splitting the rock into two; instead, the rock is split by everything that preceded it — including the previous 99 blows. Just as the Creedo’s philosophy may explain the origins and crystallization of a basketball dynasty team, it can also prove insightful in understanding what COVID-19 has done to global trade. COVID-19 is not the only reason for the steep decline of 18.5% in trade flows year‑on‑year drop during the second quarter of 2020 as reported by the WTO. Of course, COVID-19 had something to do with it. Still, upon closer inspection, it is perhaps more suitable to say that problems and weaknesses had been visible through the cracks of the global trading system for many years and COVID-19 merely exacerbated them. In the Spurs’ case, the Creedo was used as the path towards building one of the most successful dynasties in modern NBA history. In the case of the global trading system, the Stonecutter’s Creedo can be used to lay bare the system’s glaring frailty that had become increasingly evident throughout the last couple of years; from the impasse of the Appellate Body to the departure of the Director-General amid a troublesome period for the global trade community. Despite all the adversities, there is a glimmer of hope for the Multilateral Trading System (MTS), much in the same way that the season-ending injury of the Spurs’ Hall of Fame center, David Robinson, served as the starting point of the team’s incredibly successful 20+ year run.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.029 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".