Bibliographic record
Abstract
On September 29, 2003, at the 54th session of UNHCR’s Executive Committee, High Commissioner Ruud Lubbers convened a panel discussion entitled “Implemention of UNHCR 2004.” The process dubbed “UNHCR 2004” followed closely on the heels of UNHCR’s Global Consultations on International Protection and was intended to focus more closely on UNHCR’s position within the United Nations system and its relationship with states and non-governmental partners. One of the participants in this panel discussion was the Honourable Omar Ramadhan Mapuri, Minister for Home Affairs of the United Republic of Tanzania. Tanzania hosts more refugees than any other African country. More than half a million refugees, mostly from Burundi and the Democratic Republic of Congo, live in UNHCR camps in the west of the country. Minister Mapuri’s statement, reproduced below with his permission, reflects many of the frustrations of refugee-hosting countries in the developing world.
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 | 0.030 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.021 | 0.015 |
| Insufficient payload (model declined to judge) | 0.112 | 0.056 |
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".