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Record W4224304193 · doi:10.30676/jfas.v46i2.110269

Anti-sedentarism and the anthropology of forced migration

2022· article· en· W4224304193 on OpenAlexafffund
Nicolas Parent

Bibliographic record

VenueSuomen Antropologi Journal of the Finnish Anthropological Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsMcGill University
FundersUniversity of BernMcGill University
KeywordsEthnographySociologyForced migrationDeterritorializationLiminalityIdentity (music)RefugeeGender studiesAnthropologyDisciplineEpistemologyAestheticsSocial scienceGeographyArchaeology

Abstract

fetched live from OpenAlex

Anthropologists of forced migration have advanced unique perspectives exploring identity and community as they relate to space. With its critique of naturalized conceptions of rootedness, boundedness, and territorialization, anti-sedentarism stands as an important conceptual development emanating from this work. And while expressions such as ‘sedentary bias’ and ‘sedentarist thinking’ are found throughout this body of literature, anti-sedentarism per se has not received a proper treatment of its disciplinary underpinnings and intellectual horizons. This article identifies some of the genealogical traces of anti-sedentarism, discussing it through anthropological contributions in both the cultural and mobility turns. Informed by the work of anthropologists of forced migration, a working definition of anti-sedentarism is provided, followed by a critical discussion on key debates related to this concept. A selection of migrant and refugee ethnographies produced during the mobility turn (1990s onward) is then used to explore the extent which anti-sedentarism has translated to the empirical work of anthropologists and ethnographers engaging with displacement, dispossession, and deterritorialization.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.052
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0010.002
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 head0.012
GPT teacher head0.290
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2022
Admission routes2
Has abstractyes

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Same venueSuomen Antropologi Journal of the Finnish Anthropological SocietySame topicMigration, Refugees, and IntegrationFrench-language works237,207