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Record W2614253350

Within Four Walls: the Empowerment of Household Workers in Chile

2017· dissertation· en· W2614253350 on OpenAlexfundno aff
Gabriela Barends-Ramirez

Bibliographic record

VenueThe Atrium (University of Guelph) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsnot available
FundersUniversity of Guelph
KeywordsEmpowermentGeographySocioeconomicsSociologyEconomic growthEconomics
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this thesis is to analyze how Ley 20.786 has contributed to the improvement of working conditions and the empowerment of household workers in Chile. Ley 20.786 was passed in 2014 in Chile, and it formalizes the working conditions of all household employees, regardless of job status or nationality. To analyze how household workers have the capacity to exercise choice, I draw on the semi-structured interviews I carried out during my fieldwork in Santiago de Chile. The results indicate that there are some improvements in the working conditions of domestic workers as a result of Ley 20.786. The results also suggest that the women in this job sector find ways to configure their power relations at work, become aware of their traditional vulnerable position by accessing information about their labour rights, and that they make use of their resources, agency, and achievements to gain a sense of empowerment. This thesis contributes to the largely unexplored topic of domestic workers’ empowerment in Chile and Latin America.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0040.002
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.037
GPT teacher head0.282
Teacher spread0.245 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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