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Record W7015306439

State and the reproduction of capital : urban renewal in Thunder Bay, 1965-1973 / by David Peerla. --

2017· other· en· W7015306439 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsThunderState (computer science)ReproductionCapital (architecture)Agency (philosophy)Social reproduction
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this inquiry is to examine the relationship of \nthe state to the reproduction of capital. The thesis will consider \nthe question of the relationship of the state to capital at the \ntheoretical and empirical level, in a case study of urban renewal \nin Thunder Bay. \nAt the theoretical level v;e will consider; (a) the relationship \nof the state and capital accumulation; (b) collective consumption; \n(c) the general necessity of state intervention into the production \nof the built environment; (d) the state and crises in capital accumulation \nand (e) urban protest movements. At the empirical level we will discuss: \n(a) a particular state agency responsible for regulation of the built \nenvironment - the Ontario Municipal Board and (b) The Local State. \nFinally, we will bring these theoretical and empirical analyses together \nin considering the case of urban renewal in Thunder Bay. \nThe thesis concludes with a discussion of the necessity of an \nintegrated theory of the state which is a combination of both instrumentalism \nand structuralism. The concept of structurally induced instrumentality \nis offered as a possible resolution of the structuralist versus \ninstrumentalism dilemma.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.235
Teacher spread0.216 · 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
Published2017
Admission routes1
Has abstractyes

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