Implementing UN CRDP Through Human Interface Equivalencies (HIEs) With Semantic Interoperability
Bibliographic record
Abstract
The introduction of the UN CRDP provided the first common international basis of legal and regulatory requirements for individual accessibility as a human right. The international ISO/IEC standard committee in the field of e-learning (i.e., ISO/IEC JTC1/SC36) responded by developing an international standard ISO/IEC 20016-1 to address semantic interoperability requirements of language accessibility, in the form of human interface equivalents (HIEs). The authors identify and summarize key aspects of this ISO/IEC 20016-1 standard including fundamental principles governing individual accessibility requirements, based on the UN CRDP doing so in an ITLET and commitment exchange context. The concept of semantic interoperability (in an ITLET context) is defined and supports the same through the constructs of level and degrees of semantic equivalency. It is based on best practices of translation theory, applied linguistics, and existing applicable international standards, which already address various aspects of language accessibility requirements in a generic manner.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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".