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Record W4292573105 · doi:10.1177/14634996221118140

Calibrating home, hospitality and reciprocity in migration

2022· article· en· W4292573105 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnthropological Theory · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsWestern University
FundersH2020 European Research CouncilSocial Sciences and Humanities Research Council of CanadaHorizon 2020 Framework ProgrammeUniversità degli Studi di Messina
KeywordsHospitalityRefugeeSociologyArgument (complex analysis)PremiseReciprocity (cultural anthropology)AppropriationImmigrationEpistemologySocial psychologyGender studiesSocial sciencePolitical scienceLawTourismPsychology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.020
GPT teacher head0.321
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it