Bibliographic record
Abstract
Academic research in migration, 1-2 Acculturation of migrants, 39 in non-economic literature, 45 styles, 42 Active citizenship, 62 Adaptation, 34-35 Advisory Group (AIG), 191 African diaspora evolution, 34-35 African migrants in diaspora, 63 Air Officer Commanding (AOC), 187 Ali, Altab, 201 beginning of confrontation towards racism and fascism, 201-202 Bengali youths in front line in movement against racism, 202 establishment of different entities, 202-203 identity of Bangladeshi community, 204-205 murder, 201 naming of Altab Ali Park and establishment of Altab Ali arch, 203-204 participation into mainstream politics, 204 Altruism, recognition for, 189-190 Ambition, 34-35 Anti-British movement, 199-200 Anti-discrimination, 188 Aspiration, 34-35 Assimilation, 74 Asylum process, 160-161 Australia migrants in, 174 public, 177-178 British Nationalist Front (BNF), 200-201 Business ownership, 103 BWA Centre, 204-205 CALL advocacy in Lincolnshire, 191 Canada, 44, 69-70, 73-77, 173, 176 Canada, Francophone literature in, 35-36 Canadian Multiculturalism Act, 69-70 Caribbean, 74, 185-186 Cartesian coordinate system, 42 Cartesian plane, 42 Central and Eastern Europe (CEE), 88, 90 respondents, 95 Central European, 88 Chairmanships and membership of voluntary organisations, 191-193 Chartered Institute of Personnel and Development (CIPD), 128 Chinese, 47-48 immigrant entrepreneurs, 60-61 CIMB Bank, 24-25 Citi GPS, 125 Citizen, 44, 53-55, 62, 77, 155 Citizenship, 53-55 sociological implications, 61-63 Cognition, 151-152 Cohesion reforms, 177-178 Collectivism, 89-90 Collectivity, 12 Colonisation, 11, 55-56 Colombian study, 89-90 Commander-in-Chief commendations (C-in-C commendations), 186 Commission of Inquiry into Poverty, 178 Communication, 15-18 Communitarianism, 54 Community, 3, 54 Community activism, 189-191
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.808 | 0.812 |
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".