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
Private transnational organizations have grown in number and in influence. However, sociologists and political scientists often study them separately, either as transnational social movement organizations (TSMOs) or the larger category of international non-governmental organizations (INGOs). In this paper, I examine the determinants of TSMO legitimacy by drawing on the literature on INGOs. In so doing, I call for bridging the disciplinary gap between sociology and political science. Empirically, I find that legitimation benefits already prominent organizations more than those that are not. Networking thus helps reproduce the hierarchy among the TSMOs, challenging the earlier notion that TSMOs are horizontally networked. However, I also find that Southern TSMOs are more likely to gain legitimacy than Northern TSMOs once they are visible to their peers. The analysis of TSMOs thus cautions our bias to study Northern INGOs and generalize the findings to INGO population. Overall, my findings reveal that the incentives and strategies that INGO research has documented exist among TSMOs despite their counter-hegemonic ambitions.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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