Bibliographic record
Abstract
The United States announced last Monday that it would refuse to pay its 2011 funding commitment to the United Nations' lead cultural and educational body following that organisation’s decision to admit Palestine as a full member.\nWorth $US60 million ($A56.6 million) the annual contribution provides 22% of the United Nations Educational, Scientific and Cultural Organisation’s (UNESCO) Member State levied contributions to its regular budget .\nThe announcement followed shortly after the UNESCO General Conference of its 194 Member States decided that morning to admit Palestine as its 195th Member by an overwhelming 107 in favor to 14 votes against – with 52 abstentions.\nLined up in favor of Palestine’s admission were Russia, China, Greece, Turkey, Brazil, France, Belgium and Austria amongst many others. Against, were the US, Israel, Canada, Germany, Switzerland, Poland and Australia along with seven others. Portugal, Colombia, Bosnia-Herzogovina, and the UK abstained as did 48 other Member States.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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; both teacher heads agree on what is shown here.
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".