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
This technical note analyzes international experiences and practices of public technology extension service programs. Technology extension services comprise varied forms of assistance provided directly to enterprises to foster technological modernization and improvement, with a focus on established small and mid-sized enterprises. The note discusses the definitions, rationales, and characteristics of selected technology extension service programs, drawing on examples from Europe, North America, and other regions. It presents four detailed case studies: the U.S. Manufacturing Extension Partnership; the National Research Council-Industrial Research Assistance Program in Canada; England's Manufacturing Advisory Service; and Tecnalia, an applied technology organization in Spain. The case studies address several program elements including the history and evolution of the program, structure, program scale, financing structure, services and clients, governance, personnel, monitoring, and evaluation. The analysis highlights common and distinctive characteristics as well as program strengths, weaknesses, and key practices. The note provides a framework for positioning technology extension services within the broader mix of policies for technology transfer, business upgrading, and innovation, and offers conclusions and insights to support efforts to strengthen technology extension services in Latin America.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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