Linking global trends and local lives: Mapping the methodological dilemmas
Bibliographic record
Abstract
Discourses on globalization are characterized by references to interstate relations, transnational corporate policies, international law, and multilateral negotiations that point to a singular and simplistic focus on ‘the economy’. The ‘data’ that reflect and reference these discourses are usually available through statistical information such as figures about trade, investment, and profit. When referring to garment production, for example, policy-makers, retailers, manufacturers, and industry experts speak of the decline of this sector in Canada in terms of global competition, free trade, export/import figures, the size of the labor force, and so forth. Rarely is the discussion focused on people – the actors, who are the real forces behind statistics and economic trends. Linking the global trends with the everyday lives of people is thus a problem for researchers of economic globalization who begin with the daily lives of people. This was the challenge we faced when we conducted a study of changes in the garment industry in Toronto, Canada, between 2001 and 2005.
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) | 0.001 | 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".