Science without Borders – An alternative framework for evaluation
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 paper proposes a tentative methodology to critically evaluate some aspects of the first phase of the Brazilian international higher education mobility program called Ciência sem Fronteiras (Science without Borders SwB) on its undergraduate scholarship share in Canada. The data to be analyzed come from the first Calls (108/2012-109/2012), and three of the monitoring tools designed by the program administrators: the immediate, straightforward data available on the Painel de Controle and Bolsistas pelo Mundo sites (prepared by the program administrators themselves) and expanded with the further information provided (or not) by the students in their Lattes CV (an electronic standardized record of academic life). For this study, we selected the total of 522 students who were placed in the five Canadian universities which presented the largest number of SwB undergraduate students all through the first phase, spent their period abroad and returned to complete their courses in their home universities in Brazil at least 21 months before – at the time data were collected (January, 2016). Our understanding of educational policies is in line with The Policy Cycle Approach (Bowe, Ball and Gold, 1992). The concept of ‘disposition’ (Dewey 1992; Andreotti et al. 2015) will be used as a framework for a critical analysis of the attitudes students have related to updating their Lattes CV, which is here understood as a tool that enables accountability to stakeholders.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it