Calibrating home, hospitality and reciprocity in migration
Bibliographic record
Abstract
Hospitality, as an analytic and a lived experience, is central to the day-to-day workings of home, and to managing the tensions and contradictions inherent in place attachment and appropriation on any scale - from the domestic to the national one. This emerges as a contentious and yet under-researched social question whenever newcomers such as immigrants and refugees lay some claim for guesthood. Following this premise, and based also on our fieldwork, this article outlines a conceptual argument for a joint understanding of home and hospitality in time and space. This leads us to conceptualize 'calibrated hospitality' to appreciate the ongoing dialectic between the spatial, temporal, and relational dimensions of the host-guest encounter in immigrant- and refugee-receiving societies. Looking at immigrant and refugee inclusion in terms of hospitality being claimed, negotiated, and possibly denied, relative to the theories and practices of 'home', opens an extensive conceptual terrain for social research that is more connected to foundational lived cultural idioms, and contextually more sensitive, than approaches based only on policy frames such as integration, or on formal entitlements such as access or residence rights.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.028 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| 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".