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Record W1959410657 · doi:10.1111/1469-8676.12022

The specific intellectual's pivotal position: action, compassion and thinking in administrative society, an Arendtian view

2013· article· en· W1959410657 on OpenAlexaff
Gregory Feldman

Bibliographic record

VenueSocial Anthropology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTechnocracyPoliticsSociologyAction (physics)Power (physics)PopulationSubject (documents)RationalityEnvironmental ethicsCompassionPolitical sciencePolitical economyLaw

Abstract

fetched live from OpenAlex

Political action is frequently conceptualised as starting from the ground up. Plausible as this point may be, it pays insufficient attention to well‐established arguments that we inhabit administrative society, implicitly contrasted against political society, with technocrats operating the requisite power/knowledge grid away from the street. Like Foucault's ‘specific intellectuals’, technocrats work in pivotal positions in apparatuses of population regulation, but nevertheless can potentially recognise the plight of the marginalised ‘masses’ as they themselves are also alienated subject‐objects of population regulation. This article draws on a range of ethnographic encounters with technocrats working in diverse areas of migration management in the European Union to prompt an examination of the historical and social conditions that impede, and often render unthinkable, direct engagement between technocrats and the migrants whom they are paid to regulate. The article draws explicitly on Hannah Arendt's work on the , compassion, thinking, judging and revolution (1) to explain how the apparatus's systemic isolation of both its policy experts and policy targets impedes political action and (2) to identify a form of ethnographic engagement that might help to overcome it.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
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 head0.069
GPT teacher head0.391
Teacher spread0.322 · 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 teacher head, not a consensus.

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

Citations32
Published2013
Admission routes1
Has abstractyes

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