The Securitization of the US–Canada Border in American Political Discourse
Bibliographic record
Abstract
Abstract.In this paper, the authors analyze the empirical process of securitization of the US–Canada border and then reflect on the model proposed by the Copenhagen School. We argue that securitization theory oversimplifies the political process of securitizing moves and audience acceptance. Rather than attributing securitization to a singular speaker addressing a specific audience, we present overlapping and ongoing language security games performed by varying relevant actors during the key period between the Intelligence Reform and Terrorism Prevention Act (IRTPA) in December 2004 and the signing of the Security and Prosperity Partnership of North America (SPP) in June 2005, showing how multiple speakers participate in the continuing construction of a context in which this issue is increasingly treated as a matter of security. We also explore the language adopted by participants in the field, focusing on an expert panel convened by the Homeland Security Institute. We conclude that in the securitization of the US–Canada border there are inconsistencies between truth and discourse, as well as significant distinctions between official and bureaucratic discourses, further emphasizing the importance of a comprehensive model of securitization. Résumé.Dans cet article, les auteurs font l'analyse du processus empirique de la sécurisation de la frontière Canado-Américaine à travers la réflexion sur le modèle proposé par l'École de Copenhague. Nous soutenons que cette théorie de sécurisation simplifie trop le processus politique de son initiation et de l'acceptation de l'auditeur. Au lieu d'attribuer la sécurisation à un orateur, s'adressant à un public particulier, nous présentons les jeux de langage continuels effectués par plusieurs acteurs pendant la période suivant la Intelligence Reform and Terrorism Prevention Act (IRTPA) en décembre 2004, jusqu'à l'approbation de la Security and Prosperity Partnership of North America (SPP) en juin 2005. Nous maintenons que plusieurs orateurs participent dans la construction continuelle du contexte dans lequel l'affaire est de plus en plus comprise dans le cadre de sécurité. Nous explorons aussi le langage employé par les participants dans le champ, observant surtout un groupe d'experts convoqué au Homeland Security Institute. Nous concluons que dans le cas de la sécurisation de la frontière Canado-Américaine il existe des incohérences entre le discours et le réel, ainsi que des distinctions significatives entre les discours officiels et bureaucratiques, mettant l'accent sur l'importance d'un modèle compréhensif de sécurisation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.015 | 0.025 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".