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Record W4402547569 · doi:10.1177/00225266241278758

Opening the blackbox of air deportation: The case of Switzerland's “Action Black Autumn”

2024· article· en· W4402547569 on OpenAlex
Barbara Lüthi, William Walters

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

VenueThe Journal of Transport History · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsCarleton University
Fundersnot available
KeywordsDeportationAction (physics)HistoryImmigrationArchaeologyPhysics

Abstract

fetched live from OpenAlex

In 1985, in an operation Swiss authorities termed “Action Black Autumn,” a group of (mainly) Zaïrean migrants were deported to Zaïre on Switzerland's first documented deportation charter flight. What later would become a routinised practice was at that point still experimental and encountered significant resistance. Based on primary sources, this article looks at expulsion beyond law and policy by focusing on the development of what we call deportation infrastructure. This move allows for a fuller appreciation of the material systems that mediate coercive mobility and shape struggles. The article especially zooms in on questions of violence, resistance and visibility. By engaging the case from these different angles, we will demonstrate that a perspective of infrastructure offers new insights about deportation as a practice.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.330
Teacher spread0.272 · 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