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
1. Methodological Predicaments of Cross-Border Studies Anna Amelina, Thomas Faist, Nina Glick Schiller and Devrimsel D. Nergiz Part I: Researching International Migration after Redefining Spatiality and Mobility 2. Transnationality, Migrants and Cities: A Comparative Approach Nina Glick Schiller 3. Transnational Migration and the Reformulation of Analytical Categories: Unpacking Latin American Refugee Dynamics in Toronto Luin Goldring and Patricia Landolt 4. Overcoming Methodological Nationalism in Migration Research: Cases and Contexts in Multi-Level Comparisons Anja Weiss and Arnd-Michael Nohl Part II: Material, Culture and Ethnicity: Overcoming Pitfalls in Researching Globalization 5. Global Ethnography 2.0: From Methodological Nationalism to Methodological Materialism Zsuzsa Gille 6. Uncomfortable Antinomies: Going Beyond Methodological Nationalism in Social and Cultural Anthropology David Gellner 7. Approaching Indigenous Activism from the Ground Up: Experiences from Bangladesh Eva Gerharz Part III: Juxtapositions of Historiography after the Hegemony of the National 8. The Global, the Transnational, and the Subaltern: The Limits of History Beyond the National Paradigm Angelika Epple 9. Incorporating Comparisons in the Rift: Making Use of Cross-Place Events and Histories in Moments of World Historical Change Sandra Curtis Comstock 10. Interrogating Critiques of Methodological Nationalism: Propositions for New Methodologies Radhika Mongia Part IV: Conclusions 11. Transnational Social Spaces: Between Methodological Nationalism and Cosmo-Globalism Ludger Pries and Martin Seeliger 12. Concluding Remarks: Reconsidering Contexts and Units of Analysis Thomas Faist and Devrimsel D. Nergiz
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 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