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Record W12355116 · doi:10.1038/nbt743

Mediating Montreal : constructing places, contesting spaces

2005· dissertation· en· W12355116 on OpenAlexaboutno aff
Leila Pourtavaf

Bibliographic record

VenueNature Biotechnology · 2005
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHybridityCentralityNegotiationMichel foucaultSociologyResistance (ecology)Space (punctuation)Everyday lifeGender studiesSocial spaceAestheticsMedia studiesPoliticsEpistemologySocial sciencePolitical scienceAnthropologyArt

Abstract

fetched live from OpenAlex

In his later work Michel Foucault argued for the importance of the spatiality of social life; the place in which the actually lived and socially produced sites and the relations between them are negotiated (Foucault 1986). This thesis aims to locate the centrality of such spatial negotiations through critically engaging with some of the recent theoretical writings on contemporary cities and applying them to specifically delineated spaces within the landscape of contemporary Montreal. More specifically, this thesis observes certain Montreal neighborhoods, namely the Main, the Gay Village, and Parc Extension, which have either been marked as iconic or ignored and ghettoized. The work offers a challenge to the traditional conceptions of Montreal's hybridity which rely on discursive constructions of places such as the Main as an idealized space of uncontested difference. Instead, it focuses on other and othered Montreal neighborhoods which are defined through clearly marked boundaries and the marginal status of their residents. The goal of this research is to examine how social formations are constituted through both official discourses and everyday spatial negotiations, and more significantly, the ways in which such constitutions of space at once re-inscribe forms of social domination and inform a practice of social resistance.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.951
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.002

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 head0.004
GPT teacher head0.251
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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Same venueNature BiotechnologySame topicCanadian Identity and HistoryFrench-language works237,207