Competitive science and technology intelligence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As industrial economies head irreversibly towards globalization, access to and applications of, new technological information from worldwide sources become critical. The National Research Council of Canada (NRC) has carried out an experiment to determine whether researchers from a national scientific institution can make a contribution to accessing technological information from foreign sources, analyzing that information, generating competitive intelligence and selectively disseminating that intelligence to Canadian firms. A trial copy of an S&T intelligence bulletin was prepared by NRC in order to determine the essential features of a competitive S&T intelligence service. The intelligence in the bulletin was generated from information gathered from worldwide sources by NRC researchers in the course of their normal activities. The bulletin was sent to a small number of technology-intensive firms and the usefulness of the bulletin was evaluated by follow-up interviews. A description of the process of generation and dissemination of intelligence and the formal evaluation of that experiment is presented.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.001 |
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 it