Concluding observations of the UN Committee on the elimination of racial discrimination : forty-third to fifty-seventh sessions (1993-2000)
Bibliographic record
Abstract
Preface. Foreword. United Nations Committee on the Elimination of Racial Discrimination. Concluding Observations. Algeria. Argentina. Armenia. Australia. Austria. Azerbaijan. Bahrain. Barbados. Belarus. Belgium. Bolivia. Bosnia and Herzegovina. Brazil. Bulgaria. Burkina Faso. Burundi. Cambodia. Cameroon. Canada. Chad. Chile. China, People's Republic of. Colombia. Costa Rica. Croatia. Cuba. Cyprus. Czech Republic. Denmark. Dominican Republic. Egypt. El Salvador. Estonia. Finland. Finland. France. Gabon. Germany. Ghana. Guatemala. Guinea. Haiti. Holy See. Hungary. Iceland. India. Iran, Islamic Republic of. Iran, Islamic Republic of. Iraq. Israel. Italy. Jordan. Korea, Republic of. Kuwait. Kyrgyzstan. Latvia. Lebanon. Lesotho. Libyan Arab Jamahiriya. Luxembourg. Macedonia, The former Yugoslav Republic of. Madagascar. Mali. Malta. Mauritania. Mauritius. Mexico. Mongolia. Morocco. Namibia. Nepal. Netherlands. New Zealand. Nicaragua. Niger. Nigeria. Norway. Pakistan. Panama. Papua New Guinea. Peru. Philippines. Poland. Portugal. Romania. Russian Federation. Rwanda. Senegal. Slovakia. Slovenia. Spain. Sri Lanka. Sudan. Swaziland. Sweden. Switzerland. Syrian Arab Republic. Tanzania, United Republic of. Tonga. Trinidad and Tobago. Tunisia. Ukraine. United Arab Emirates. United Kingdom of Great Britain and Northern Ireland. Uruguay. Uzbekistan. Venezuela. Viet Nam. Yugoslavia. Zaire. Zambia. Zimbabwe. Annex. International Convention on the Elimination of All Forms of Racial Discrimination.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.059 | 0.039 |
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".