MétaCan
Menu
Back to cohort
Record W7048058619

Informal Resistance in the Global City : Responses to Socio-Spatial Polarization in Toronto

2020· article· en· W7048058619 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Library of the University of Innsbruck (University of Innsbruck) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyNeighbourhood (mathematics)ResidenceGlobal cityParticipant observationPolarization (electrochemistry)Resistance (ecology)Global SouthUrban studies
DOInot available

Abstract

fetched live from OpenAlex

By drawing on concepts of two sociological fields, urban sociology and social movement theory, I aim to study the emergence of forms of informal resistance which can be interpreted as responses to urban dynamics that have emerged in global cities. Using the concept of resistance allows for taking into account not only mass mobilizations but also practices that can be described as informal and that are part of the city dwellers everyday life. I study these practices developed by marginalized urban actors by taking Toronto and, more specifically, the neighbourhood Parkdale as an example. With an ethnographic research design based on participant observation and walking interviews with inhabitants, I seek to better understand how in connection with their lived experiences, their interpretations of the local changes and their attachment to their place of residence city dwellers resist against the increased sociospatial polarization and try to participate in the making of their city. I further investigate if and how small-scale resistance leads to the emergence of new ideas and claims concerning the future of the city. The research project will not only contribute to meet a gap in research on urban mobilizations in Toronto but also deepen theoretical reflections on small-scale urban resistance in global cities.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
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 head0.008
GPT teacher head0.182
Teacher spread0.174 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueDigital Library of the University of Innsbruck (University of Innsbruck)Same topicSuperconducting and THz Device TechnologyFrench-language works237,207