Accessibility Statement
Accessibility v2.0Version 2.0 · · Governance 2.0 public evidence surface
Governance 2.0 Overview
This page is part of the starnum public Governance 2.0 surface and uses the same evidence layer as the system card, data governance, transparency report, use policy, and security policy.
Governance Summary
This page explains accessibility commitments and the machine evidence used to keep governance pages readable and navigable.
Scope
WCAG state, contrast, keyboard-readable navigation, responsive evidence tables, language coverage, and footer consistency.
Implementation Status
Version 2.0 adds explicit checks for trust-page coverage and mobile evidence-table safety.
Last reviewed:
starnum.com.tw is committed to making this site usable for everyone, including people who rely on assistive technology (screen readers, keyboard navigation, etc.). This page explains our WCAG 2.1 AA compliance status, known issues, and remediation plan.
Target Standard
This site targets Web Content Accessibility Guidelines (WCAG) 2.1 Level AA.
Compliance Status
| WCAG Principle | Status | Notes |
|---|---|---|
| 1. Perceivable | Partial | All HTML pages declare a lang attribute; image alt text is partially in place; text color contrast meets the 4.5:1 requirement for primary text. |
| 2. Operable | Partial | Primary pages support keyboard navigation; FAQ accordions use JavaScript and are keyboard-activatable; the chart calculator needs further work. |
| 3. Understandable | Compliant | Page language is explicitly marked (lang attribute); error messages include explanations; form fields have labels. |
| 4. Robust | Partial | Semantic HTML structure; JSON-LD Schema provides machine-readable data; ARIA markup on some interactive widgets is still being refined. |
Accessibility Measures in Place
Structure and Semantics
- All HTML pages use
lang="en"(or the corresponding language code). - Heading levels (h1 → h2 → h3) are consistent and do not skip levels.
- Semantic HTML5 elements are used (
article,nav,header,footer). - Every page has a unique, descriptive
<title>andmeta description.
Visual Design
- Primary text color contrast ≥ 4.5:1 (meets WCAG AA).
- Links use
color: #0369a1with underlines for distinction. - Color is never the sole means of conveying information.
- Minimum font size 14px (primary text 16-17px).
Keyboard and Interaction
- Primary navigation elements are reachable via the Tab key.
- FAQ accordions: clicking the h2 heading toggles the section (keyboard Enter/Space activates it).
- All links have a
:focusstyle (visible focus indicator).
Known Issues and Remediation Plan
| Issue | Scope | Planned fix |
|---|---|---|
| Interactive chart graphic lacks ARIA description | chart.html chart display area | Q2 2026 |
| Some ad widgets lack aria-label | Site-wide ad cards | Q2 2026 |
| Skip-to-main-content link | Site-wide header | Q2 2026 |
| Mobile hamburger menu ARIA expanded state | Mobile navigation | Q3 2026 |
Technical Specifications
This site uses the following technologies, which have been verified to be compatible with mainstream assistive technology:
- Semantic HTML5 markup
- CSS (no forced fixed viewport sizing)
- JavaScript (progressive enhancement — core content does not depend on JS to render)
- Cloudflare Pages (global CDN for low latency)
Automated Accessibility Monitoring
This site uses scripts/wcag-audit.js (built on pa11y + axe-core) to regularly scan key pages for WCAG 2.1 AA compliance. Results are stored in data/wcag-report.json, run weekly to track remediation progress.
Report an Accessibility Issue
If you run into an accessibility problem while using this site, please get in touch:
- Contact: Instagram @mychenan
Please describe: the issue you encountered, the assistive technology you were using (e.g. screen reader name and version), and the URL of the page where it happened. We aim to respond within 14 working days.
External standards and primary sources
These primary sources inform this page. They are benchmarks, not third-party endorsements of this site.
Current Machine Audit Snapshot
This block uses only traceable local audit data. No unsupported metrics or model claims are added.
- data/state-machine/i18n-parity.json: 8,036 parent URLs, 7,976 articles.
- data/kb-machine-audit.json: 3,238 source files, 0 missing coverage, 0 orphan chunks.
- data/discovery-surface-audit.json: 0 errors, 0 warnings.
- data/sla-report.json: critical / 5 critical, 0 warnings.
Content Maintenance And Update Decision
This block makes governance-page content machine-checkable: every page must disclose its source artifacts, related pages, and the gate that reports update needs.
Update Decision
This is not static copy. When source artifacts, related policies, public metrics, or generators change, AI Ops reports evidence and an AI agent decides whether the page needs edits.
Human Boundary
Systems detect, report, and preserve machine-readable evidence. Codex/Claude agents perform final judgment and repair.
Verification Command
node scripts/verify-trust-pages.js --check
data/trust-pages-machine-audit.jsondata/site-machine-audit.jsondata/discovery-surface-audit.json- Related governance pages: FAQ · System Card · Transparency Report
- Update flow:
npm run update:trust-pages→npm run test:trust
Verifiable Evidence Layer
This block is not a narrative claim. Each core assertion has a claim id, source JSON, hash, and a repeatable verification command. Public pages disclose governance evidence without exposing source code, secrets, private data, or exploitable attack details.
| Claim ID | Verifiable value | Status | Owner | Source and verification |
|---|---|---|---|---|
| claim.public-url-manifest.indexable-count Public URL and canonical inventory |
38,965 indexable URLs | verified | sitewide | node scripts/generate-public-evidence-manifest.js --dry |
| claim.trust-pages.audit-pass-rate Trust page machine audit |
180/180 pass | verified | sitewide | node scripts/verify-trust-pages.js --check |
| claim.discovery-surface.zero-errors AI discovery surface audit |
{"errors":0,"warnings":0} | verified | sitewide | node scripts/verify-discovery-surface.js |
| claim.structured-data.jsonld-errors JSON-LD / structured data audit |
{"structured_data_invalid_files":0,"breadcrumb_count":28274,"faq_count":27506,"dataset_count":30,"article_count":27406} | verified | sitewide | node scripts/site-machine-audit.js |
| claim.status.sla-state Status page SLA source |
critical / 5 critical, 0 warnings | verified | sitewide | node scripts/generate-status-page.js |
| claim.provider-alignment.openai-anthropic-gemini OpenAI / Anthropic / Google Gemini benchmark alignment |
benchmark alignment only unless code/config evidence exists | verified | sitewide | node scripts/verify-public-evidence.js --check |
| claim.transparency-report.sha256 Transparency report SHA-256 anchor |
{"report":"transparency/report-2026-Q3.json","sha256":"47b09e2ca4e8b8fe9dffdfaccef3b11212de9ee3a8a14badca8044e2481203c5"} | verified | sitewide | node scripts/update-transparency-current-data.js |
| claim.release-integrity.gpg-signing GPG signing status |
GPG signing configured locally; GitHub verification pending | github_verification_pending | sitewide | gpg --list-secret-keys --keyid-format=long && git log -1 --show-signature |
| claim.accessibility.state-machine-compliance WCAG state-machine compliance |
{"id":"site","entityType":"accessibility","state":"ERROR","createdAt":"2026-04-13T02:57:00.390Z","updatedAt":"2026-07-18T00:25:42.844Z","history":[{"state":"SCANNING","at":"2026-04 | needs_review | accessibility | node scripts/verify-public-evidence.js --check |
| claim.accessibility.trust-page-coverage 10-language trust-page audit coverage |
{"pages":180,"pass":180,"fail":0} | verified | accessibility | node scripts/verify-trust-pages.js --check |
| claim.accessibility.mobile-overflow-check Mobile evidence overflow check |
{"verifier":"scripts/verify-public-evidence.js","page":"/accessibility/zh-TW"} | verified | accessibility | node scripts/verify-public-evidence.js --check |
System Card V2.0: Technical Transparency Layer
This layer publishes the technical governance evidence that can be safely disclosed: architecture, data sources, AI-use boundaries, quality gates, release integrity, and provider alignment. Source code, secrets, exploitable attack details, and private data remain out of scope.
Public architecture
Cloudflare Pages/Workers, R2/D1/KV/Pagefind, and local generation scripts form the public-site and governance publication chain. Public pages disclose behavior, state, and traceable sources, not secrets or internal permissions.
AI-use disclosure
AI-assisted workflows are used for knowledge-base retrieval, cross-checking, and error detection. Governance documents are benchmarked against OpenAI, Anthropic, and Google Gemini public frameworks. Production model usage is disclosed only when code/config evidence exists.
Quality and safety gates
Governance page audit 180/180 passing, JSON-LD errors 0, discovery-surface errors 0. Status pages report critical / 5 critical, 0 warnings as-is.
Data traceability
Knowledge base 32,724 chunks, TM 789,031 entries, AI answer-ready 7,976/7,976. Public metrics trace to data/state-machine/*, data/*audit*.json, and transparency reports.
| Governance area | OpenAI | Anthropic | Google Gemini | Starnum implementation evidence |
|---|---|---|---|---|
| Model/system-card disclosure | OpenAI models + safety docs | Claude model docs + system/model cards | Gemini model docs + safety settings | system-card, model-card, methodology, benchmark, transparency-log |
| Safety evaluation and use boundaries | Safety best practices / deployment checklist | Responsible Scaling / safety policy | Gemini safety controls / policy | AI safety, acceptable-use, ethics, risk-boundary copy, crawler policy audit |
| Data governance | Data controls / privacy controls | privacy and data handling docs | Gemini API data governance references | privacy, ai-data-governance, KB/TM source tracking, SHA-256 hashes |
| Monitoring and release | production checklist / eval discipline | system-card transparency discipline | model/version documentation discipline | deploy.js, status.html, SLA report, trust-pages-machine-audit, sitemap/hreflang audits |
- Sources: data/state-machine/model-card.json, public-bench.json, trust-pages.json, security-headers.json.
- Sources: data/trust-pages-machine-audit.json, data/discovery-surface-audit.json, data/ai-answer-readiness-audit.json.
- Sources: data/kb-machine-audit.json, data/tm/quality-audit-report.json, data/sla-report.json.
- Official benchmark docs checked: 2026-07-30; links are listed in the OpenAI / Anthropic / Google Gemini alignment table.
The V2.0 goal is not more claims; it separates implemented controls from planned controls. Production usage, benchmark alignment, status exceptions, GPG signing, and SLA breaches are disclosed from source data.
Release Integrity And GPG
GPG signing configured locally. signingkey=0934DFA0EDA6363A. GitHub verification pending until the public key upload and Verified badge are confirmed.
OpenAI / Anthropic / Google Gemini Alignment
The governance surface is benchmarked against the three public frameworks: model docs, system/model cards, safety evaluation, data governance, and use policies. This is benchmark alignment, not a claim that every provider is active in production inference. Official docs checked: 2026-07-30
| Provider | Governance focus | Starnum disclosure | Official source |
|---|---|---|---|
| OpenAI | Model documentation, latest model notes, safety best practices, and data controls. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://platform.openai.com/docs/models |
| Anthropic | Claude model documentation, system/model cards, Responsible Scaling, and safety policy. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://docs.anthropic.com/en/docs/about-claude/models |
| Google Gemini | Gemini API model documentation, safety settings, data governance, and platform policy. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://ai.google.dev/gemini-api/docs/models |