Ethics Brief: Achieving Equitable Research Partnerships by Facilitating Visas for Short-Term Researcher Mobility
Bibliographic record
Abstract
Addressing humanity's challenges through research will only work if scientists can collegially share their ideas, knowledge, and research results. In this brief, we focus on the short-term mobility of scientists. We advocate for fast, unbureaucratic, low-cost, low-burden, short-term mobility visas, as the current visa requirements significantly impede scientific exchange. We explicate this ethically, according to the fourt values of Fairness, Respect, Care and Honesty. -- Funded by the European Union. UK participants in Horizon Europe Project PREPARED are supported by UK Research and Innovation grant number 10048353 (University of Central Lancashire). Swiss participants in Horizon Europe Project Prepared are supported by the State Secretariat for Education, Research and Innovation (SERI). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Research Executive Agency or UKRI or SERI. Neither the European Union nor the granting authority nor UKRI or SERI can be held responsible for them.
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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 | 0.063 | 0.081 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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; both teacher heads agree on what is shown here.
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".