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
The present research on migration to London is part of a larger project involving other similar investigations dealing with the Americas (specifically Canada and Argentina). The purpose of the overall project is the systematic study of some socio-demographic variables and the most significant factors that have helped shape the evolution of international migration in a settlement today. It also illuminates, in a diachronic development, a possible link between the determinants of European and transoceanic migrations and suggests the likely differences. The results that will be presented in this paper are those of the study of a sample obtained by a non-probability snowball sampling through interviews with 221 Italian immigrants in London. The data retrieval is achieved by administering a pre-structured questionnaire. The survey method was based on the traditional and effective optical gender related to different demographic, social and economic factors in order to find different aspects of Italian regional migration to London. We have seen that gender difference has increasingly become more helpful in modifying the traditional migration profiles of Italian regions.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it