Tracing and explaining securitization: Social mechanisms, process tracing and the securitization of irregular migration
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
Abstract This article offers a process-mechanism explanation of securitization. To make the case for a process-mechanism account more concrete, I use interpretivist process tracing to explain the crisis episode of the Sun Sea, a Thai cargo ship carrying Sri Lankan asylum-seekers, and the securitization of irregular migration in Canada. Drawing on interviews and grey literature, the article shows how securitization was possible and under what conditions, and argues that ideational dispositions of security organizations induced state officials toward a security interpretation of the the Sun Sea. The article aims to demonstrate that process-mechanism explanations represent a compelling methodological alternative with which to trace and explain securitization. The article sees itself as part of a broader refinement of a sociological variant of securitization theory. It seeks to examine and enhance the contribution that this ‘post-Copenhagen’ approach – its core assumptions and theoretical framework – makes to the analysis of securitization.
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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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