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Record W2921740338

Strengthening social ties in vulnerable cities

2019· article· en· W2921740338 on OpenAlexaff
Jean-Christophe Levassor

Bibliographic record

VenueOpenEdition (OpenEdition) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsInterpersonal tiesGeographyEconomic geographySociologySocial science
DOInot available

Abstract

fetched live from OpenAlex

Le Pile in east Roubaix has been particularly hard-hit by the industrial and financial crisis. Over 40% of the neighborhood’s residents live under the poverty line (€642 a month for a person living alone). Social divisions are clear to see and recreating spaces where people can interact and make contact with each other is a key challenge in building resilience for the future. These social divisions will become worse without a proactive policy to combat them, and may be further exacerbated by the digital revolution. If nothing is done to restore harmonious co-existence in the community, positive initiatives such as urban farming and zero waste will never have an effect beyond a limited circle of insiders.Located in this deprived neighborhood, La Condition Publique is a creative laboratory at the crossroad between art, culture and the imperatives of urban renewal and sustainability. Its aim is to recreate ties and spaces between different actors across the territory – residents, nonprofits, businesses, etc. – to support urban renovation and foster resilience.

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)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0260.009
Scholarly communication0.0070.005
Open science0.0020.018
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.029
GPT teacher head0.261
Teacher spread0.232 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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