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Record W3085147416 · doi:10.1080/21622671.2020.1799851

Bridging across difference in contemporary (urban) social movements: territory as a catalyst

2020· article· en· W3085147416 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTerritory Politics Governance · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsBridging (networking)Ethnic groupSocial movementCollective actionBridge (graph theory)Political scienceEconomic geographyMobilizationSociologyPolitical economyGender studiesGeographyPoliticsLaw

Abstract

fetched live from OpenAlex

This editorial introduces a collection of papers that contributes to two strands of debates: the transformation of urban- and place-based social mobilizations; and the relationships and collaboration between highly diverse groups coexisting in a particular place. The introduction develops the three sets of questions that underpinned the collection (which take us to Istanbul, Madrid, Berlin and the territories surrounding Montreal and Boston): (1) Which kind of urban or territorial issues, processes or threats act as trigger/catalyst for the emergence of new coalitions between highly diverse individuals, groups or existing movements? How does urban space, or the ‘territory’ more broadly, act as a politicizing force in the process of formation of such highly diverse mobilizations? (2) Who are the actors of those diverse mobilizations? To what extent do they span across class, migration status, ethnic and other forms of social divisions, and point to cooperation between the ‘materially dispossessed’ and ‘culturally disenfranchised’? (3) How do heterogeneous groups bridge across their differences in the process of mobilization and activism, and which challenges do they face in so doing? Which repertoires of contention and modes of action do the diverse components of the mobilization bring with them? How complementary or conflicting are they?

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.963

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.041
GPT teacher head0.316
Teacher spread0.275 · 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