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Record W4254890402 · doi:10.22215/rera.v11i1.252

Moving from Integration to Participation? Notes on the Interrelationship between Communal and Associative Relationships

2017· article· en· W4254890402 on OpenAlexvenueno aff
Thomas Faist, Christian Ulbricht

Bibliographic record

VenueReview of European and Russian Affairs · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)Nexus (standard)CitizenshipGermanEpistemologySociologyAssociative propertyTerm (time)Political sciencePositive economicsEnvironmental ethicsLawEconomicsGeographyPoliticsPhilosophy

Abstract

fetched live from OpenAlex

There are current trends in public and academic debates which point toward a wish of some analysts and observers to “de-culturalize” debates on international migration. In German debates, it is the term “integration” which has an alleged culturalizing effect and which therefore should be avoided and discarded as a concept of practice and as a concept of theory. In contrast to these positions we argue that there is a fundamental nexus between communal relations (Vergemeinschaftung or integration) and sociation (Vergesellschaftung). It is only by relating communal relations and sociation that we can understand the logics of important institutions such as citizenship and welfare states. Analytical concepts such as Vergemeinschaftung and Vergesellschaftung are necessary because they help us to account for fundamental changes. We find that in recent decades the meaning of integration connected to nationhood in public debates has changed from an ethno-cultural understanding to a republican one which is simultaneously characterized by increasing demands upon individuals who are conceptualized as autonomous persons (individualization).

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0020.017
Scholarly communication0.0060.008
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.092
GPT teacher head0.354
Teacher spread0.263 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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