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Record W7095290784

Off:Re:OnShore

2018· other· W7095290784 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Language
FieldSocial Sciences
TopicGlobal Development and Urbanization
Canadian institutionsnot available
Fundersnot available
KeywordsFutures contractFraming (construction)ArchitectureWork (physics)Real estateValue (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

<p>The audio documentary <em>Off:Re:OnShore</em> explores the legacy of industrial offshoring, the effects of corporate actions on the built environment of labour, and the role of architecture in bringing closer ideas of work and the good life. This documentary was conceived of and developed by Víctor Muñoz Sanz during his residence at the Canadian Centre for Architecture as 2015–2016 Emerging Curator.</p>\n<p>In recent decades, economies of the Global South have been shaped by offshore production and labour-intensive industrialization, which often come with dangerous work conditions, inadequate wages, and sexual exploitation, notably in the garment industry. Today, working and living conditions in and around those factories continue to deteriorate under the pressure of increasing South-to-South competition, economic protectionism, relocalization or reshoring, automation, and the loose framing of corporate responsibility offshore. So, where do we go from here?</p>\n<p>Víctor Muñoz Sanz engages this question through a series of interviews with eight leaders, activists, architects, and cultural producers. They discuss contemporary opportunities to build sustainable futures beyond offshore production, and the role of design and architecture in reasserting the value of human work.</p>\n

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.488
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.5470.060

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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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