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Record W2901708935 · doi:10.1111/cico.12338

UniverCity: The Vicious Cycle of Studentification in a Peripheral City

2018· article· en· W2901708935 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCity and Community · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsMcGill University
Fundersnot available
KeywordsContext (archaeology)Virtuous circle and vicious circleCentral cityEconomic geographyAffect (linguistics)Global cityPolitical scienceSociologyEconomic growthRegional scienceGeographyEconomics

Abstract

fetched live from OpenAlex

Research on studentification has unpacked the spatial, economic, and social impacts that are associated with the growing presence of students in cities. Nonetheless, considerably less attention has been paid to the broader regional and national contexts that shape studentification. Using the case study of Ben–Gurion University of the Negev, Beersheba, we argue that the studentification of the city should be understood within its context as the periphery of the country. Despite the university's central location and its involvement in revitalization efforts in the region, Ben–Gurion University is surrounded by marginalized neighborhoods which have turned into a “student bubble”. We show that the segregation between the campus and the city results from a vicious cycle that reproduces the city's poor image and disrupts the university's attempts to advance the city and region. Although overlooked by policy–makers, the implications of this cycle reach far beyond the campus' surrounding and affect the city and to some extent the whole region.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.360
Teacher spread0.319 · 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