Bibliographic record
Abstract
Prologue: Imagining Globalization through Changes in Place H.H.Leung & M.Hendley PART I: LANGUAGE English: A Globalized Language in Science and Technology J.F.Chiang Global English in Asian Fiction X.Xi Globalization through Global Brand Transposition S.Chiang & H.Mi PART II: IDENTITIES Maintenance of Spanish as a Heritage Language in a Global World M.C.Montoya Language Choice among Maya Handicrafts Vendors in an International Tourism Marketplace W.E.Little Making of Pacific Mall: Chinese Identity and Architecture in Toronto H.H.Leung & R.Lau Citizens or Consumers - British Conservative Political Propaganda Towards Women in Two World Wars M.Hendley PART III: BOUNDARIES Capoeira and Globalization J.M.Rosenthal Immigration and Indigenization in the Mexican Diaspora in the Southwestern United States B.Haley Construction, Deconstruction, and Reconstruction of State Legitimacy in South Africa and Japan R.W.Compton Jr. Searching for Semantics in Music: A Global Discourse O.Legname Human Movements: Consequences to Global Biogeography T.Horvath Epilogue: Echoes from the Past Reflections T.Sakoulas
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".