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Record W3006385647 · doi:10.15273/jue.v10i1.9948

Reclaiming Public Spaces in the Informal Economy: Migrant Mothers who Defy Gender Traditions in Cochabamba, Bolivia

2020· article· en· W3006385647 on OpenAlexvenueno aff
Margaret Giacalone

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive reframingEmpowermentAgency (philosophy)EntrepreneurshipInformal sectorGovernment (linguistics)Economic growthPopulationSociologyEthnographyNarrativeIndigenousGender studiesTourismWork (physics)Political scienceSocial scienceEconomics

Abstract

fetched live from OpenAlex

In the city of Cochabamba, Bolivia, mothers from the campo have become the engine of the Bolivian economy and leaders in their communities. The issue: they work in the informal sector, which is disapproved by the government and general population. Families from the countryside have lost their homes and traditional means of living as a product of policies in favor of foreign competition. Mothers have become the leaders of their homes and found jobs in the city that have further burdened their role responsibilities. Since there are few safe work opportunities that support indigenous migrant mothers’ maternal identities, they create their own jobs in spaces traditionally dominated by machista values. Despite intersecting obstacles of gender, class and race, mothers are resilient and capable of redefining spaces and reframing narratives of their motherhood. Drawing on ethnographic data, this article depicts how migrant mothers achieve empowerment, survival and control of their identities thanks to the agency they have found in traditional employment, entrepreneurship and cooperative entrepreneurship within the informal sector, as well as support from non-governmental organizations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.151
GPT teacher head0.280
Teacher spread0.129 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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