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Record W2523108031 · doi:10.1111/anti.12249

Lifetimes of Disposability and Surplus Entrepreneurs in Bagong Barrio, Manila

2016· article· en· W2523108031 on OpenAlexafffund
Geraldine Pratt, Caleb Johnston, Vanessa Banta

Bibliographic record

VenueAntipode · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of British Columbia
FundersEconomic and Social Research CouncilSocial Sciences and Humanities Research Council of CanadaUniversität ZürichUniversity of GlasgowHarvard University
KeywordsSurplus valueBusinessEconomicsPolitical scienceCapitalism

Abstract

fetched live from OpenAlex

Working in collaboration with Migrante International and drawing on testimony of residents in the remittance-dependent, migrant-sending community of Bagong Barrio in Caloocan City in Metro Manila, Philippines, we examine the systematic production of lifetimes of disposability that drives labour migration across the generations. The closure of factories and contractualisation of work in the 1980s created the conditions in which labour migration is not a choice but a necessity. Diligent use of remittances to pay for the education of their children in many cases has produced a new generation of overseas Filipino workers (OFWs), and investment in housing often is another route to OFW status. Alongside this narrative of ongoing precarity, we listen closely to the testimony of residents for ways of living that are both subsumed within and somewhat excessive to accounts that might render their lives as merely waste or wasted.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.007
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.272
Teacher spread0.258 · 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

Citations48
Published2016
Admission routes2
Has abstractyes

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