Welcoming the foreigner: Notes on the possibility of multispecies hospitality
Bibliographic record
Abstract
Abstract What do the welcome and the refusal mean when the one who arrives is not human? By examining the moral attitude created through the acceptance of European racing pigeons in Pakistan and the capture of Pakistani “spy pigeons” at the India‐Pakistan border, this article unknots multiple meanings of arrival and explores how shared values of hospitality and hostility emerge and interplay when a more‐than‐human Other arrives in a foreign land as an invited guest or an uninvited intruder. Drawing on Jacques Derrida's (2000) construction of hostpitality and Punjabi Sufi poet‐philosopher Waris Shah's discussion of badal (reciprocity), this article contends that in South Asia, reciprocal exchanges produce and sustain cooperative, competitive, or antagonistic bonds and propound an analytical avenue to critically rethink deconstruction of the home as a sovereign space.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.017 | 0.045 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".