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Record W4295977635 · doi:10.25071/2292-4736/40363

Toronto’s Culturally Driven Gentrification

2007· article· en· W4295977635 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUnderCurrents Journal of Critical Environmental Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDeindustrializationProsperityEconomicsBoomUnemploymentReal wagesWageEconomyLabour economicsEconomic growthEngineering

Abstract

fetched live from OpenAlex

During the late 1960’s and early 1970’s the North American economy began to see evidence that after decades of prosperity (during the post-war boom) the industrial economy was heading for a collapse (Harvey, 1989; Hannigan, 2004). When the war torn European nations were largely rebuilt and the massive move to the suburbs slowed down, the U.S. economy experienced what Harvey called the ‘crisis of accumulation.’ The economy was overproducing in the face of decreasing foreign and domestic demand, encountering stiffening international competition and coping with rising wages. These factors left profit margins squeezed and started the escalating process of deindustrialization. In an effort to cut costs many manufactures ‘outsourced’ and subcontracted production to smaller firms and to international locations such as Mexico, where there were relaxed labor regulations and abundant workforces prepared to work for low wages.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.047
GPT teacher head0.383
Teacher spread0.336 · 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