Bibliographic record
Abstract
In lieu of a king’s foot, a complex, sophisticated system smoothens the mechanical aspects of contemporary life. According to experts, we expect our computers to have interoperable parts that the monitor will work with the modem and the printer as well as the processor, and that we will not have to rewrite parts so that they will work together. ANSI is the US member body in ISO and hosts the US National Committee of the IEC. ASME and other US standards-developing groups lay claim to being de facto international organizations because many of their US-developed standards are used around the world to supplement government regulation and procurement actions. The ASME Boiler and Pressure Vessel Code is used widely, while the National Fire Protection Association’s Life Safety Code forms the basis for building codes in the United States and Canada. The technology transfer act requires that agencies report when they do not use available private sector standards, and instructs federal agencies to participate in the development of private sector standards that are relevant to their missions.
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 | 0.067 | 0.104 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.023 | 0.016 |
| Open science | 0.006 | 0.013 |
| Research integrity | 0.012 | 0.019 |
| Insufficient payload (model declined to judge) | 0.019 | 0.029 |
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".