prevalence-kit
Copyright (c) 2026 Mohd Saif Hussain
Licensed under the MIT License. See LICENSE.

This file records third-party material redistributed inside this repository, and
the conditions attached to it. It is not a list of dependencies -- those are in
pyproject.toml and constraints.txt, and none of them is vendored here.


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1. European Union official text
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File:    OJ_L_202402835_EN_TXT.pdf
Work:    Commission Implementing Regulation (EU) 2024/2835
Source:  Official Journal of the European Union
Reuse:   Commission Decision 2011/833/EU of 12 December 2011 on the reuse of
         Commission documents.

  (C) European Union, https://eur-lex.europa.eu, 1998-2026.

Reuse is authorised provided the source is acknowledged. That acknowledgement is
the binding condition of Decision 2011/833/EU, Article 6(2)(a), and this notice
is where it is given. The clearance and its exact boundary are recorded in
docs/STANDARDS.md S-4.3.

The boundary is not incidental and is repeated here because it is easy to read
too widely: the clearance covers COMMISSION documents. Regulation (EU) 2022/2065
(the Digital Services Act) is an act of the Parliament and Council, is NOT
covered by that decision, and is NOT redistributed here. It is cited only.

This is the single third-party text in this repository. Research papers that
anchor the methods are cited by DOI and are deliberately not committed --
docs/STANDARDS.md carries the citations, and the project's own rule 18 keeps the
works themselves out of the tree.


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2. Fixtures generated by third-party software
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The files under r/fixtures/ and svy/fixtures/ are NUMBERS THIS PROJECT COMPUTED
by running other people's software, committed so that a stranger can check our
arithmetic without installing any of it. No third-party source code is vendored.

  R `survey` 4.5 (Thomas Lumley), GPL-2 | GPL-3
      Stratified estimation and Neyman-allocation fixtures, generated inside the
      digest-pinned witness image. docs/STANDARDS.md S-2.1, S-2.1a.

  R `epiR` 2.0.92 (Mark Stevenson and contributors), GPL-2
      Rogan-Gladen point-estimate and interval fixtures. S-1.10.

  R `stratallo` 3.0.1 (Wojciech Wojciak), GPL-2
      Allocation-rounding fixtures. S-1.12.

  base R `stats::binom.test`, part of R itself, GPL-2 | GPL-3
      Clopper-Pearson cross-check. S-2.4.

  Python `svy` 0.25.0, MIT
      Neyman-allocation and design-interval fixtures, generated in a throwaway
      environment. `svy` is never installed in this project's dependency tree --
      docs/DECISIONS.md D-2 gives the reason. S-2.2.

Each fixture records the exact call and version that produced it, asserted in the
gate by tests/test_fixtures.py.


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3. Dataset used in the demonstration and the worked example
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  google/civil_comments -- CC0 1.0 Universal (public domain dedication)
      Citation: Borkan, Dixon, Sorensen, Thain, Vasserman (2019),
      "Nuanced Metrics for Measuring Unintended Bias with Real Data for Text
      Classification", arXiv:1903.04561.
      docs/STANDARDS.md S-7.1; retrieval procedure S-8.5.

THE CORPUS ITSELF IS NOT REDISTRIBUTED HERE. What is committed is measurement
output -- counts, coverage tallies, and per-file SHA-256 digests -- plus, in the
worked example, item identifiers and label values with NO comment text. That is a
deliberate choice recorded in the Phase 3 contract at Q28: this tool exists to
keep harmful content sealed, and publishing the text it seals would contradict
its own argument.


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4. Code of Conduct
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CODE_OF_CONDUCT.md is Contributor Covenant v3.0, stewarded by the Organization
for Ethical Source and licensed CC BY-SA 4.0. Attribution and licence terms are
carried in that file, unedited apart from the contact details.
