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
Despite economic globalization, media globalization, and decreased costs of transportation and communication, we as a global public have yet to understand or precisely define our ethical relationships with one another. Higher education institutions in the United States have stepped into this gap, proclaiming their collective centrality to the mission of creating global citizens. This chapter problematizes the existing literature on global citizenship, particularly in the context of service-learning and university-community engagement. It considers the location of various global citizenship efforts academically and in relationship with community partners. The chapter also considers diverse students’ articulations of their own identity negotiations following exposure to global service-learning to suggest six empirically rooted dimensions of global citizenship. It focuses on more recent collaborative research undertaken by the authors and focuses more specifically on how students experience global engagement after participating in two distinct global service-learning programs in Tanzania and Bolivia.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.017 | 0.033 |
| Scholarly communication | 0.043 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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