"There's No Place Like Home" DOMA Deportation: The Forced Expatriation of Bi-national Same-Sex Couples from the United States to Canada
Bibliographic record
Abstract
This comment will focus on bi-national same-sex couples who are forced to expatriate from the united states to canada because of DOMA’s detrimental effects on their relationship. more specifically, part I focuses on DOMA’s constitutionality, effects on bi-national same-sex couples, and current legal challenges. Part II provides a historical analysis of the united states’ attitude towards same-sex unions before describing current legislation regarding same-sex couples. Part III describes canada’s recognition of same-sex marriage and support of immigration equality, comparing and contrasting the canadian approach with the united states’ approach. Part IV explains the current legal and financial issues that bi-national same-sex couples face in the united states, and analyzes the consequences suffered by those who expatriate to canada. Part V will evaluate the problems with presently pending solutions to the united states’ refusal to allow same-sex immigration. Lastly, Part VI will propose a different solution that will allow bi-national same-sex couples to physically unite in spite of DOMA’s continuing reign.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.046 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".