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
Purpose The purpose of this paper is to report the findings of an exploratory survey administered in North America on advanced manufacturing technologies (AMTs). The objective of the survey is to compare the status of AMT investment, planning and implementation, and performance in two different regions: Anglo America (developed countries) and Middle America (developing countries). Design/methodology/approach Responses from 97 Anglo‐American companies (62 from Canada and 35 from the USA) were compared to responses from 125 Middle American companies (85 from Mexico and 40 from Costa Rica). The researchers used different statistical analyses such as exploratory factor analyses, analysis of variance and regression. Findings In general, Middle American countries representing the developing region show higher AMT investment, planning and implementation activities, and finally, higher performance due to AMT implementation. This phenomenon was hypothesized since developed countries have shifted most of their manufacturing operations into developing countries, while they keep ownership of multinational firms. Therefore, big corporations that previously invested in AMT in their home countries are now investing in AMT in their manufacturing plants in developing countries. Originality/value This research provides insights to the growing body of knowledge on AMT. Most AMT research has been done in developed countries. In this study, the researchers show results comparing developed versus developing countries.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it