Bibliographic record
Abstract
Unpacking Globalization, edited by Linda E. Lucas, explores the ways in which globalization has transformed the lives of women, the nature of women's work and gender relations more broadly. The purpose of this collection is to draw together a range of quantitative and qualitative analyses in order to begin to answer the question posed by Benería (2003) as to whether or not the shift to a market economy has had a beneficial impact on women and gender relations. In order to do so, this collection of 28 chapters combines theorizations of globalization at the macro level with studies done at the national and local levels. The authors base their research in Africa, Asia, Europe, North America, and South America and engage a wide range of contemporary issues, including: the feminization of survival, the role of the United Nations and civil society, the opportunities and limitations of transnational women's activism, human security and human rights, migration, social security and well-being, female sex workers, political representation, affirmative action policies, the gendered nature of organizations, spaces and opportunities for women's empowerment, entrepreneurship and micro-credit. While the contributors to Unpacking Globalization all share a theoretical and practical commitment to feminism and to the need to promote gender equity in development processes, their perspectives remain nonetheless diverse, with some retaining a critical view of (gendered) globalization, some viewing recent transformations as progressive in terms of gender relations and others voicing optimism about the progressive potential of globalization if properly directed and managed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".