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Record W2600613233 · doi:10.1177/0011392117694411

Expanding the borders of <i>The Sociological Imagination</i> : Spatial difference and social inequality

2017· article· en· W2600613233 on OpenAlexaff
Rob Shields

Bibliographic record

VenueCurrent Sociology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSpatializationSociologyPresuppositionMainstreamWrightEpistemologyGlobalizationSocial scienceInequalitySpace (punctuation)Relation (database)AnthropologyMathematicsPolitical scienceLinguisticsComputer scienceLaw

Abstract

fetched live from OpenAlex

This article argues that C Wright Mills’ The Sociological Imagination has changed, as evident in sociologies that think beyond national societies and analyse globalization. This ‘imagination’ has in effect been ‘expanded’, moving from one-dimensional (linear) analyses based on historical vectors of force and teleologies to a more contextualized, relativized spatial analysis with more dimensions. There were always outliers. However, at least for mainstream North American sociology, this represents a change in the spatialization of social science, a change in its presuppositions about space, not the becoming spatial of a non-spatial sociology. Borders and mobilities across and along borders are examined in relation to what is needed to confront them critically in a new spatial regime – a new ‘spatialization’ of the social. A hypothesis is developed that understands borderlines relationally as institutions and social technologies that introduce difference and inequalities into an otherwise homogeneous social and spatiotemporal ‘cultural topology’.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.052
Scholarly communication0.0100.014
Open science0.0010.008
Research integrity0.0020.003
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 head0.104
GPT teacher head0.414
Teacher spread0.310 · 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 designTheoretical or conceptual
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

Citations10
Published2017
Admission routes1
Has abstractyes

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