{
  "title": "Editorial Quality at Scale: A Reproducible Prose-Review Pipeline",
  "version": "0.4.2",
  "doi": "10.5281/zenodo.20417104",
  "doi_url": "https://doi.org/10.5281/zenodo.20417104",
  "zenodo_record": "https://zenodo.org/records/20417104",
  "record_id": "20932047",
  "publication_date": "2026",
  "resource_type": {
    "title": "Journal article",
    "type": "publication",
    "subtype": "article"
  },
  "creators": [
    {
      "name": "Daniel Ari Friedman",
      "affiliation": "Active Inference Institute",
      "orcid": "0000-0001-6232-9096"
    }
  ],
  "description": "This paper documents template_prose_project, the prose-focused exemplar of the Research Project Template (https://github.com/docxology/template). It pairs the template's two-layer architecture with the prose analysis infrastructure (https://github.com/docxology/template/tree/main/infrastructure/prose) (readability metrics, structural outline, editorial quality flags) and the reference validation infrastructure (https://github.com/docxology/template/tree/main/infrastructure/reference) (BibTeX validation), demonstrating that rigorous editorial review can be expressed as a configurable, deterministic pipeline with no novel domain algorithm of its own.\n\nA single manuscript/config.yaml defines target grade-level bands, citation-density floors, structural rules (every section has an H1, no heading levels skipped), and bibliography-consistency policy. The pipeline reads the manuscript, runs the prose analysers, cross-checks every  citation against manuscript/references.bib, evaluates the configured checks, and writes a deterministic markdown review report alongside three figures (per-file word counts, readability metrics, citation density) and a JSON manuscript_report.json suitable for CI artefacts.\n\nRun snapshot. The current configuration analyses 8 file(s) totalling 1742 words across 86 sentence(s) and 64 paragraph(s). Average Flesch-Kincaid grade level is 15.93; average Gunning Fog index is 16.69; the manuscript references 6 unique citation key(s); the longest section is 413 words and the shortest is 17. These numbers are auto-substituted by scripts/z_generate_manuscript_variables.py after every run, so the abstract tracks the JSON outputs in output/.\n\nThe contribution is methodological and architectural: a generic, reusable prose-quality module (infrastructure/prose/) that any project in the template can opt into, plus a minimal, configurable exemplar (projects/templates/template_prose_project/) that wires it to the bibliography and the manuscript pipeline.\n\nKeywords: prose analysis, readability, editorial review, reproducible manuscript review, scientific infrastructure\n\n---\nAssociated artifacts\nGitHub release: v0.4.2 (https://github.com/docxology/template_prose_project/releases/tag/v0.4.2)\nDOI: https://doi.org/10.5281/zenodo.20417104\nZenodo: https://zenodo.org/records/20417104\nPDF SHA-256: 290d21b10bd588b978d6a3200cdf0e3c2441ca86fcdc777ab41975fa910a260e",
  "keywords": [
    "prose analysis",
    "readability",
    "editorial review",
    "reproducible research",
    "manuscript quality"
  ],
  "files": [
    {
      "name": "Friedman_2026_Editorial_290d21b1.pdf",
      "size_bytes": 132373,
      "checksum": "md5:2782a0f46d35d45bd44dd1f215cc31fa",
      "download_url": "https://zenodo.org/api/records/20932047/files/Friedman_2026_Editorial_290d21b1.pdf/content"
    }
  ],
  "related_resources": [
    {
      "type": "repository",
      "url": "https://github.com/docxology/template_prose_project"
    }
  ],
  "github_repo": "docxology/template_prose_project",
  "github_release_url": "https://github.com/docxology/template_prose_project/releases/tag/v0.4.2",
  "release_tag": "v0.4.2",
  "release_name": "Editorial Quality at Scale: A Reproducible Prose-Review Pipeline (v0.4.2)",
  "pdf_sha256": "290d21b10bd588b978d6a3200cdf0e3c2441ca86fcdc777ab41975fa910a260e",
  "pairing_confidence": "strong",
  "pairing_evidence": [
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    "title_overlap"
  ],
  "checked_at": "2026-07-10T19:08:24Z",
  "accepted_pairings": [
    {
      "doi": "10.5281/zenodo.20417104",
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      "raw_confidence": "needs_review",
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      "review_decision": "accept",
      "reviewed_at": "2026-06-04T22:32:27Z",
      "review_source": "user: Accept for all",
      "source_report": "reports/paired_publications_2026-06-04.json"
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      "doi": "10.5281/zenodo.20417104",
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    },
    {
      "doi": "10.5281/zenodo.20417104",
      "record_title": "Editorial Quality at Scale: A Reproducible Prose-Review Pipeline",
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      "github_repo": "docxology/template_prose_project",
      "github_release_url": "https://github.com/docxology/template_prose_project/releases/tag/v0.3.0",
      "release_tag": "v0.3.0",
      "release_name": "Editorial Quality at Scale: A Reproducible Prose-Review Pipeline (v0.3.0)",
      "resource_type": {
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        "type": "publication",
        "subtype": "article"
      },
      "raw_confidence": "needs_review",
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        "title_overlap"
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      "review_decision": "accept",
      "reviewed_at": "2026-06-04T22:32:27Z",
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      "source_report": "reports/paired_publications_2026-06-04.json"
    }
  ],
  "manual_pairing_review": {
    "decision": "accept",
    "reviewed_at": "2026-06-04T22:32:27Z",
    "source": "data/paired-publication-decisions.json"
  },
  "domain": "Computational",
  "type": "Paper",
  "methods": [
    {
      "name": "Software pipeline design",
      "description": "Applied software pipeline design approach"
    },
    {
      "name": "Data-driven analysis",
      "description": "Applied data-driven analysis approach"
    }
  ],
  "key_findings": [
    "This paper documents template_prose_project, the prose-focused exemplar of the Research Project Template (https://github.com/docxology/template).",
    "It pairs the template's two-layer architecture with the prose analysis infrastructure (https://github.com/docxology/template/tree/main/infrastructure/prose) (readability metrics, structural outline, e"
  ],
  "related_papers": [
    "2023_NSFReporting",
    "2023_NaturalAIBased",
    "2025_AuBI"
  ],
  "related_software": [
    "docxology/template_prose_project"
  ]
}