Collaborative Opportunities in DMSMS
Bibliographic record
Abstract
The North American Technology and Industrial Base Organization (NATIBO) is chartered to promote a cost-effective, healthy technology and industrial base that is responsive to the national security and economic progress of the United States and Canada. Current policy calls for national defense forces that derives their strength and technological superiority from a unified commercial and military industrial base. In August of 2000, the NATIBO Technology Base Enhancement Working Group initiated a six month study on Diminishing Manufacturing Sources and Material Shortages (DMSMS). DMSMS is defined as the loss or possible loss of manufacturers or suppliers of items including shortages of raw materials. DMSMS is driven by both technology and market conditions. Technology turnover has been highest in electronics, but also includes materials, chemicals, and mechanical parts. This study concentrated upon electronics DMSMS problems and the business practices in place to manage them. Consumer, commercial, and industrial electronics now drive the electronics market. These new market forces are causing technology turnover every 12 - 24 months, at a time when military legacy system service lives are being extended to 40+ years. DMSMS and obsolete parts are not a new phenomenon. What is new about DMSMS is the recent recognition of the enormity of the problem and its impact on operational readiness.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".