Refugee Hotels: The Discourse of Hospitality and the Rise of Immigration Detention in Canada
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
While serving as Minister of Citizenship and Immigration Canada between 2008 and 2013, Jason Kenney likened the detention facilities used to house an increasing number of asylum seekers and non-status migrants to hotels. And yet, when addressing the responsibilities of citizenship, he repeatedly argued that “Canada is not a hotel.” However contradictory, Kenney’s references to hotels and, implicitly, to the comforts and privileges they represent, draw on the idea of Canadian hospitality: the suggestion is that we detain asylum seekers in hotels or hotel-like conditions because we are an hospitable people but that our reputation for hospitality leaves us vulnerable to migrants who construe themselves as hotel guests with privileges rather than citizens with responsibilities. Paying particular attention to recent legislative reforms that will almost certainly result in the incarceration of more asylum seekers, this article asks how Canadian hospitality is defined and practiced today. More generally, it uses discourse analysis to explore the tension between the Canadian ideal of hospitality and the realities of an expanding immigration detention system.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it