Gap in Techno-Scientific Activity: The Iberoamerican Context
Bibliographic record
Abstract
The aim of this paper is to apply the hermeneutic approach to social imaginaries of science and technology. Special attention will be given to discuss how the techno-scientific system intends to face poverty, although the system focuses to a different direction, which is a growing inter-penetration with the economic system. The techno-scientific system, as well as its politics, sets aside poor people. In such a context, the scientific-technologic gap continues to grow, generating gradually two different paces of international development. Factors like the cyborgization, robotization, the development of ITCs, etc., have an impact into the poorest regions, ending up into situations of technologic-scientific neo-colonialism. In spite of peripheral states efforts, the possible development of these regions is an always faced and never overcome challenge. Transformations of the scientific-technologic system, which are more and more scientifically and technologically dependent every day, constitute as a gap. Key words: Science; technology; poverty; scientific-technologic gap
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.153 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".