MétaCan
Menu
Back to cohort
Record W2068520076 · doi:10.1177/0038038514540579

Retrenched and Returned: Filipino Migrant Workers during Times of Crisis

2014· article· en· W2068520076 on OpenAlexaff
Denise L. Spitzer, Nicola Piper

Bibliographic record

VenueSociology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRetrenchmentContext (archaeology)GlobalizationGovernment (linguistics)Development economicsPolitical scienceMigrant workersEconomic growthSociologyPolitical economyDemographic economicsEconomicsGeographyPublic administration

Abstract

fetched live from OpenAlex

Situating data from a pilot study conducted in the Philippines within the research literature, we examine the impact of the recent global economic crisis on the experiences of Filipino migrant workers and their families in the context of previous economic upheavals. In so doing, we highlight the gendered effects of shifts in the global economy and detail government response to the premature return of migrant workers to the Philippines primarily due to retrenchment impelled by the global economic crisis. While the current conditions of migration and return are significant, we argue that these are not the result of a new global economic crisis, but are instead the ongoing effects of neoliberal globalization that have resulted in sustained multiple crises with which residents of the Global South have had to contend. Moreover, the reputed solutions offered to returned migrants are rooted in the same faulty paradigm that will be destined to produce only further hardship.

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)0.004
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.274
Teacher spread0.264 · 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

Citations71
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueSociologySame topicMigration and Labor DynamicsFrench-language works237,207