Discourse, Identity, and “Homeland as Other” at the Borderlands
Bibliographic record
Abstract
A critical reading of the relationships between social identity theory and the shifting national identities of immigrants residing in a borderland region illustrates the processes involved in linking identity construction, international migration, and context. This spatially grounded discursive study builds on the notion that identities are constructed not only as attachments to particular places or nations, and an eagerness to grasp and hold onto dominant ideologies, but also as disidentifications with other peoples and places. Canada is now home to the largest number of U.S.-born immigrants in more than two-and-a-half decades. The northward movement of war resisters, draft dodgers, and others from the United States to Canada during the Vietnam War years was the largest politically motivated outmigration of U.S. citizens in history. In more recent years, political and economic migrants (including soldiers avoiding the war in Iraq) continue to leave the United States for permanent residency in Canada. They are attracted by their perceptions of Canada's more liberal political system, multicultural policies, support of gay and lesbian rights, prosperous real estate market, and universal health care. Using multimodal discourse analysis, this article reads and reports on data from narrative interviews, focus group discussions, and open-ended survey questionnaires to analyze identity construction in a borderland region.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".