From Modernization to Globalization: Challenges and Opportunities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
During the past decade, notions of globalization have displaced familiar discourses of modernization. On the political right, globalization is seen to signal the demise of socialist economies, and proponents of market liberalization proclaim new opportunities to further global wealth and prosperity. On the left, critics point to the ways in which the current economic restructuring is accompanied by an increasing gap between the ’haves’ and ’have nots’. However disparate these two positions seem, both neglect the gendered impact of globalization. The purpose of this article is to review feminist critiques ofglobalization. Central to this review is recognition of the diversity of women’s (and men’s) situations, both within and across cultures. This recognition reminds us that ’gender’cannot simply be added to existing paradigms ofglobalization. What is needed are innovative ways of thinking that will help us understand how local contexts are increasingly orchestrated by extra-local forces. The articles included in this Special Issue provide examples of such methodologies.
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.
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 it