Africans in global migration : searching for promised lands
Bibliographic record
Abstract
Preface Acknowledgments Chapter 1: Searching for Promised Lands: Conceptualization of the African Diaspora in Migration John A. Arthur, Joseph Takougang and Thomas Owusu Chapter 2: The Role of Ghanaian Immigrant Associations in Canada Thomas Owusu Chapter 3: Identity Formation and Integration Among Bicultural Immigrant Blacks Msia Kibona Clark Chapter 4: Identity Politics of Ghanaian Immigrants in the Greater Cincinnati Area: Emerging Geography and Sociology of Immigrant Experiences Ian E. A. Yeboah Chapter 5: Reconciling Multiple Black Identities: The Case of 1.5 and 2.0 Nigerian Immigrants Janet T. Awokoya Chapter 6: Making In-Roads: African Immigrants and Business Opportunities in the United States Joseph Takougang and Bassirou Tidjani Chapter 7: Geography of Globalized Nursing Markets: Zimbabwean Migrant Nurse Trajectory and Work Experiences in the United Kingdom Ian E. A. Yeboah and Tatenda T. Mambo Chapter 8: Relationships Among Blacks in the Diaspora: African and Caribbean Immigrants and American-Born Blacks Nemata Blyden Chapter 9: Conceptualizing the Attitudes of African Americans Towards United States Immigration Policies John A. Arthur Chapter 10: African Immigrant Relationships With Homeland Countries Mojubaolu Olufunke Okome Chapter 11: African Women in the New Diaspora: Transnationalism and the (Re)Creation of Home Mary Johnson Osirim Chapter 12: Border Questions in African Diaspora Literature Hilary Chala Kowino Chapter 13: Modeling the Determinants of Voluntary Reverse Migration Flows and Repatriations of African Immigrants John A. Arthur Chapter 14: Africans in Global Migration: Still Searching for Promised Lands John A. Arthur and Thomas Owusu
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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".