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Record W4399441464 · doi:10.1111/awr.12269

Borders, labor, and beyond: Collective reflections on Harsha Walia's writing, activism, and influence on the anthropology of work

2024· article· en· W4399441464 on OpenAlex
Stephen Campbell, Adrian D. Godboldt, Elise Hjalmarson, Seth M. Holmes, Saida Hodžić, Natasha Raheja, Gerardo Solís, Arjun Shankar, J. E. Shaw

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.

Bibliographic record

VenueAnthropology of Work Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsUndoingSociologyNationalismCapitalismEconomic JusticeWork (physics)CulminationEthnographyGender studiesMedia studiesAnthropologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract Harsha Walia is the winner of the 2022 Conrad M. Arensberg Award given by the Society for the Anthropology of Work for outstanding contributions to the anthropology of work from inside the discipline and beyond. Walia is a scholar, activist, and organizer committed to migrant justice and border abolition. She is also author of Border and Rule: Global Migration, Capitalism, and the Rise of Racist Nationalism (Fernwood Press 2021), Undoing Border Imperialism (AK Press 2013), as well as numerous journal articles. Walia's analysis and her organizing with No One Is Illegal and other activist communities lay bare why border imperialism continues to feed into worker exploitation and why border abolition is imperative for migrant worker justice. This roundtable discussion is the culmination of collective thinking by anthropologists about how Walia's work has influenced their own, including their research, writing, and advocacy with their interlocutors who live and work across borders.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.403
Teacher spread0.372 · 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