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アクセシビリティ声明

Accessibility v2.0

Version 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.

WCAG 2.1 AA — 継続的に改善中

最終レビュー:

starnum.com.tw は、支援技術(スクリーンリーダー、キーボード操作など)を利用される方を含め、すべての利用者が本サイトのサービスを快適に使えるよう取り組んでいます。本ページでは WCAG 2.1 AA の準拠状況、既知の問題、改善計画をご説明します。

準拠基準

本サイトは Web Content Accessibility Guidelines (WCAG) 2.1 AA レベルを目標基準としています。

準拠状況

WCAG 原則状況説明
1. 知覚可能(Perceivable) 部分準拠 すべての HTML ページに lang 属性を付与。画像の alt テキストは部分的に整備済み。主要テキストのコントラスト比は 4.5:1 を満たしています。
2. 操作可能(Operable) 部分準拠 主要ページはキーボード操作に対応。FAQ アコーディオンは JavaScript で実装されキーボードで開閉可能。命盤計算機は引き続き改善が必要です。
3. 理解可能(Understandable) 準拠 ページ言語を lang 属性で明示。エラーメッセージには説明を付与。フォーム項目にはラベルを設置。
4. 堅牢(Robust) 部分準拠 HTML 構造はセマンティック。JSON-LD Schema が機械可読データを提供。一部のインタラクティブ部品の ARIA マークアップは継続的に改善しています。

実装済みのアクセシビリティ対応

構造と意味

ビジュアルデザイン

キーボードと操作

既知の問題と改善計画

問題影響範囲修正予定
インタラクティブな命盤図に ARIA 説明がない chart.html 命盤表示エリア Q2 2026
一部の広告部品に aria-label が未設定 サイト全体の広告カード Q2 2026
メインコンテンツへのスキップリンク サイト全体のヘッダー Q2 2026
モバイル版ハンバーガーメニューの ARIA 展開状態 モバイルナビ Q3 2026

技術仕様

本サイトは以下の技術を使用しており、主要な支援技術との互換性を確認しています:

自動化されたアクセシビリティ監視

本サイトでは scripts/wcag-audit.js(pa11y + axe-core ベース)で主要ページの WCAG 2.1 AA 準拠状況を定期的にスキャンしています。結果は data/wcag-report.json に保存され、毎週実行して修正進捗を追跡しています。

アクセシビリティ問題の報告

本サイトの利用中にアクセシビリティの問題に遭遇された場合は、以下からご連絡ください:

以下をお知らせください:発生した問題、使用された支援技術(スクリーンリーダーの名称とバージョンなど)、問題が発生したページの URL。14 営業日以内にご返信いたします。

外部基準と一次資料

以下は本ページの判断に用いる一次資料です。比較基準であり、第三者による本サイトの推奨を意味しません。

Current Machine Audit Snapshot

This block uses only traceable local audit data. No unsupported metrics or model claims are added.

2026-07-30
Maintained
17/17
LLM loops
180/180
Governance pages
0
JSON-LD errors
32,724
KB chunks (HEALTHY)
789,031
TM entries; verified 34,781
7,976/7,976
AI answer-ready; failures 0
critical
Status page: 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

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 IDVerifiable valueStatusOwnerSource 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 areaOpenAIAnthropicGoogle GeminiStarnum implementation evidence
Model/system-card disclosureOpenAI models + safety docsClaude model docs + system/model cardsGemini model docs + safety settingssystem-card, model-card, methodology, benchmark, transparency-log
Safety evaluation and use boundariesSafety best practices / deployment checklistResponsible Scaling / safety policyGemini safety controls / policyAI safety, acceptable-use, ethics, risk-boundary copy, crawler policy audit
Data governanceData controls / privacy controlsprivacy and data handling docsGemini API data governance referencesprivacy, ai-data-governance, KB/TM source tracking, SHA-256 hashes
Monitoring and releaseproduction checklist / eval disciplinesystem-card transparency disciplinemodel/version documentation disciplinedeploy.js, status.html, SLA report, trust-pages-machine-audit, sitemap/hreflang audits

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

ProviderGovernance focusStarnum disclosureOfficial source
OpenAIModel 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
AnthropicClaude 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 GeminiGemini 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