Forum on Public Policy Globalization1 and Migration in the 21st Century: looking back into the
Bibliographic record
Abstract
Papastergiadis (2000) argues that Globalization has profound implications for the way we understand the dynamics of migration. The central feature of the new world system has been in scope and complexity. We need to go beyond globalization as markets, capital, and world-systems and examine the human activity and the agency of men and woman as migrants. This paper will investigate globalization, not just as context, but ask how does migration and migrants affect globalization. The twenty first century has witnessed considerable shifts in migration patterns and migrant ‘types ’ are increasingly diversified, coming from differing economic, social and cultural backgrounds. The historic migrations in response to labour-intensive needs are diminishing, and the skill- related migrations are poised to meet global demands. The mobility of capital appears matched by the mobility of people, and the disparities of wealth are etched in the migratory patterns. The inequalities between nation-states are circumscribed into the migratory systems and ‘race ’ and gender distinctions translate into specific labour market experiences. There is an increasing feminization of migration. Women now outnumber male immigrants to the major immigration countries of Australia, the United States, and Canada, and this shift is due to the increased migration of women from Asian countries. Yet their position in global migration dialogues has largely been ignored. This paper, through an historical approach, will question, challenge, and re-position the theoretical underpinnings of the dynamics between globalization and migration and in doing so include a new canon that casts the efficacy of women in the dynamics of new migration patterns.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.028 | 0.030 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.060 | 0.027 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".