Liminal and interstitial: performances of ordinary citizenship in Winnipeg, Canada and Copenhagen, Denmark
Bibliographic record
Abstract
Immigrant residents in urban neighborhoods in Winnipeg and Copenhagen connect a range of everyday, and place-based performances to citizenship. These connections are made directly to the state as well as mediated through access to rights, responsibilities, and membership, opportunities to engage in decision and placemaking in neighborhoods and in public. There were two prominent types of ordinary citizenship observed (1) liminal where actions led eventually to membership in the broader polity. (2) Interstitial where residents turned their actions inward creating membership and belonging in their own neighborhoods and community spaces through practices including being at home in diversity, hospitality and visiting. In both cases, residents narrated their citizenship strategies in relation to the state and non-immigrant actors. For example, in Winnipeg, a combination of messaging and limited alternatives led residents to seek out home ownership to make their way into citizenship. In Copenhagen, where state actors interpreted immigrant citizenship strategies as a rejection of Danish values, residents explained their actions as necessary because of rejection by Danish society. The results add examples of actually existing citizenship beyond liberal norms, and provide examples of political practices of urban collective decision and placemaking that disrupt dominant inequitable norms.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.013 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| 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".