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Record W4410483255 · doi:10.35319/lajed.202442542

Emprendedores reticentes, informalidad, y microemprendimiento en la población transgénero y transexual de Bolivia

2024· article· es· W4410483255 on OpenAlexaff
Calla Hummel, V. Ximena Velasco-Guachalla, Luna Shalotte Humerez Aquino

Bibliographic record

VenueRevista Latinoamericana de Desarrollo Económico · 2024
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

En este artículo describimos y analizamos los resultados de una encuesta realizada a personas transgénero y transexuales en Bolivia. El enfoque está centrado en las condiciones laborales y las experiencias de esta población dentro del mercado laboral del país. Complementamos los resultados de la encuesta con un análisis cualitativo de entrevistas realizadas con activistas de la Organización de Travestis, Transexuales, y Transgéneros Femeninas de Bolivia (OTRAF Bolivia). Los resultados de la encuesta y las entrevistas muestran que las personas transgénero y transexuales en Bolivia reportan experimentar barreras para acceder al mercado laboral formal, siendo uno de los principales obstáculos los altos niveles de discriminación por parte de similares y empleadores. Su condición laboral se caracteriza por niveles elevados de desempleo, subempleo, bajos ingresos económicos y trabajo informal. Con respecto al trabajo informal, muchas personas transgénero y transexuales optan por comenzar su propio negocio como medio para generar ingresos y como respuesta a la discriminación que experimentan en el mercado laboral. Analizamos a estos y estas emprendedores informales dentro del marco de la literatura de “reluctant entrepreneurs” o emprendedores reticentes y concluimos con recomendaciones de políticas públicas.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0040.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.246
Teacher spread0.238 · 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
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

Citations3
Published2024
Admission routes1
Has abstractyes

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