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magnus919_agent-skills/training-data-annotation/references/source-index.md
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Magnus HedemarkandGitHub 347c1d3ae7 feat(training-data-annotation): add annotation methodology (#506)
* feat(skill): add training data annotation methodology

* docs(training-data-annotation): register skill and clarify stopping boundary
2026-09-14 17:26:30 -04:00

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Source index

These sources support methodology claims; they do not prescribe universal sample sizes, agreement thresholds, pay rates, or stopping values. Recheck versions and applicability before consequential use.

Source Use
Burr Settles, “Active Learning Literature Survey,” 2009, https://burrsettles.com/pub/settles.activelearning.pdf Uncertainty, diversity, and query-strategy framing; not a deployment recipe.
Cohn, Atlas, and Ladner, “Improving generalization with active learning,” Machine Learning 1994, https://doi.org/10.1007/BF00993150 Early pool-based active-learning evidence; transfer limits depend on task and sampling assumptions.
Artstein and Poesio, “Inter-Coder Agreement for Computational Linguistics,” Computational Linguistics 2008, https://doi.org/10.1162/coli.2008.34.4.555 Agreement interpretation and the distinction between reproducibility and truth.
NIST AI RMF 1.0, https://doi.org/10.6028/NIST.AI.100-1 Risk, governance, and documentation context; not an annotation threshold catalog.