Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Acculturation is the process of bidirectional change that occurs when two ethnolinguistic groups come in sustained contact with one another. Acculturation usually occurs between groups of unequal power, status, and demographic background. At stake for the unity of multilingual states are intergroup relations between language minorities and majorities that yield harmonious to conflictual outcomes. The Interactive Acculturation Model (IAM) is adapted to intergroup relations between language communities in four parts. The first part of the model provides an overview of the ethnolinguistic vitality framework accounting for the strength of minority/majority language communities as they struggle to gain the institutional support they need to develop as distinctive and thriving language communities. The second part of the IAM offers an analysis of the pluralist, civic, assimilationist, and exclusionist ideologies that underpin language policies regulating the co-existence of minority/majority language communities. The third part examines the acculturation orientations endorsed by majority and minority language group speakers. The fourth part of the IAM proposes that the interaction of majority and minority acculturation orientations yield intergroup communication outcomes that may range from harmonious, problematic, to conflictual. Taken together, the IAM model offers a conceptual tool for analyzing the fate of linguistic minorities as they seek to survive in the dominant majority group environments of post-modern globalizing states.
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.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it