Bibliographic record
Abstract
This report aims to introduce an organisation called the International Cities of Refuge Network (ICORN). Derived from the Sanctuary Movement, ICORN assists refugee artists around the world. The Sanctuary Movement was developed in the United States and Canada as a network of over 500 safe havens for Central American refugees. From the 2000s on, the movement focused more on moral injustices in the national immigration system and sought to confront global injustices on local levels. In turn, in the UK and Ireland the City of Sanctuary movement started in 2005 and turned into a network of over 60 towns and cities proud of being safe places for people seeking sanctuary and helping them to integrate in the local communities. Each ICORN city focuses on one writer/artist at a time and provides him/her with a safe place to stay and economic security for a standard term of two years. Currently, over 55 cities worldwide are part of the network (ICORN 2016).
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".