Journal Copyeditor DOCX
Conduct publication-oriented copyediting and consistency review of academic manuscripts in .docx format. Apply the core docx skill for document editing, tracked changes, comments, rendering, and integrity verification.
Default Scope
For a request described as comprehensive, submission-ready, or journal copyediting, perform all of the following unless the user narrows the task:
- Language and readability editing.
- Theory, argument, and claim-boundary review.
- Construct and terminology consistency review.
- Methodological and statistical reporting audit.
- Citation and reference correspondence audit.
- Target-journal or journal-neutral submission-suitability review.
- DOCX structure, formatting, field, revision, and rendering validation.
Intake Profile
Determine from the manuscript and request:
- manuscript file and supplementary files;
- target journal, discipline, and article type, if specified;
- English variety and citation style, if specified;
- editing intensity: light, medium, heavy, or comprehensive;
- required reviewer name and initials;
- required deliverables.
If the target journal is not specified, use a journal-neutral, high-quality academic profile appropriate to the discipline. Do not infer or hard-code a particular journal. If a journal is specified and current author guidance is needed, verify only against the journal's official current instructions and state the profile used in the report.
Default reviewer identity: Copy Editor / CE.
Non-Negotiable Editorial Contract
- Preserve the source file. Work only on copies.
- Preserve all existing tracked revisions and comments in the tracked deliverable.
- Preserve citation-manager fields, cross-references, equations, hyperlinks, footnotes/endnotes, section breaks, tables, figures, captions, numbering, and styles.
- Do not fabricate, infer, or repair empirical facts without evidence from the supplied manuscript or verified source files.
- Do not invent theories, constructs, mechanisms, hypotheses, citations, sample details, analyses, coefficients, p-values, confidence intervals, or reference metadata.
- Do not strengthen novelty, causality, generalizability, or managerial implications beyond what the design and evidence support.
- Use the same term for the same construct. Do not rotate technical terms for stylistic variety.
- Make the smallest safe tracked edit. Avoid paragraph-wide delete-and-reinsert revisions for ordinary copyediting.
- Make substantive meaning changes only when clearly supported. Otherwise add a concise Word comment and report item.
- Never silently reconcile conflicting values. Flag them and identify every affected location.
- Do not update citation fields, reference-manager fields, numbering fields, or cross-references unless explicitly requested and verified.
Edit directly with tracked changes when the correction is local, unambiguous, and meaning-preserving, including grammar, syntax, punctuation, concision, transition, terminology normalization, and defensible hedging.
Add a Word comment when resolution requires author knowledge, new evidence, reanalysis, construct choice, theoretical repositioning, methodological justification, or interpretation of conflicting values.
Add a report item when the issue is global, repeated, submission-level, or difficult to anchor at one location. Use both a comment and a report item for serious issues.
Do not use comments for routine grammar edits.
Comprehensive Audit Domains
1. Language and Readability
- Correct grammar, punctuation, spelling, agreement, syntax, articles, prepositions, parallelism, and word choice.
- Replace translationese and Chinese-influenced sentence structure with natural academic English.
- Reduce redundancy, nominalization, vague pronouns, unnecessary passive voice, inflated wording, and AI-like filler.
- Improve paragraph unity, topic sentences, transitions, and section flow.
- Preserve technical nuance and the authors' intended meaning.
Open references/language-and-argument.md for detailed rules.
2. Theory and Argument Quality
- Check that each section performs its proper function.
- Trace the logic from research problem to gap, research question, theory, hypotheses, findings, contributions, implications, limitations, and conclusion.
- Test whether each claim has a stated basis, logical bridge, boundary, and evidentiary support.
- Flag unsupported novelty claims, missing comparators, circular logic, construct substitution, post hoc theorizing, and implications that exceed the findings.
- Do not introduce a new theory, construct, mechanism, or citation unless clearly marked as an editorial recommendation.
Open references/theory-construct-review.md.
3. Construct and Terminology Consistency
Create an internal construct dictionary covering:
- canonical construct name and abbreviation;
- conceptual definition and defining attributes;
- conceptual domain, referent, unit, and level of analysis;
- temporal status and dimensional structure;
- role in the theoretical and empirical model;
- operationalization, manipulation, proxy, or scale;
- item labels, subdimensions, and scoring direction;
- expected relationship with other variables;
- neighboring constructs that require differentiation;
- sections, tables, figures, and appendices where the construct appears.
Apply a general construct-differentiation check rather than relying on fixed construct pairs. For every focal and neighboring construct, compare definition, conceptual domain, referent, level, temporal scope, dimensionality, nomological role, and operationalization. Verify that:
- one construct is not given multiple labels without justification;
- one label is not used for substantively different constructs;
- distinct constructs have an explicit conceptual boundary rather than merely different names;
- the measure or manipulation represents the stated construct rather than an adjacent attribute;
- proxies, indicators, dimensions, mechanisms, outcomes, and manipulation checks are not presented as interchangeable;
- construct meaning remains stable across theory, hypotheses, methods, results, discussion, tables, figures, and appendices.
Flag duplicated or mismatched items, undeveloped or unmeasured constructs, silent changes in level or referent, and distinctions that require author judgment or additional validity evidence.
4. Methods and Statistical Reporting
Check across text, tables, figures, notes, appendices, and supplementary materials:
- study numbering, sample sizes, exclusions, cell sizes, demographics, and conditions;
- variable names, coding, reference categories, scale anchors, item wording, reliability, validity, and manipulation checks;
- coefficients, standard errors, test statistics, degrees of freedom, p-values, confidence intervals, effect sizes, odds ratios, and directions;
- model names, bootstrap samples, conditional effects, indirect-effect scale, covariates, robustness checks, and stated conclusions;
- causal language, mediation language, and generalization relative to design.
Do not alter a numerical result merely because it appears wrong. Flag it, report the locations, and request verification.
Open references/methods-statistics-review.md.
5. Citations and References
- Match in-text citations to reference entries and identify uncited references.
- Check names, years, suffixes, citation order, duplicate records, incomplete metadata, DOI/URL formatting, and inconsistent journal-title styling.
- Preserve reference-manager fields. Do not convert fields to plain text unless explicitly requested.
- Do not fabricate or replace references. When external verification is requested, use authoritative bibliographic sources and clearly distinguish verified corrections from editorial suspicions.
Open references/citation-reference-review.md.
6. Submission Suitability and Reviewer Risk
If a target journal is supplied, assess fit using its verified profile. Otherwise assess against general standards for a strong peer-reviewed article in the discipline.
Review for:
- unclear marketing, management, social-science, or discipline-specific problem relevance;
- incremental contribution or excessive overlap with adjacent research;
- weak mechanism, missing boundary conditions, construct overlap, and overclaimed novelty;
- identification weaknesses, manipulation confounds, common-method concerns, selective controls, or outcome-validity problems;
- weak connection among abstract, introduction, results, discussion, and conclusion;
- practical implications unsupported by the evidence;
- missing ethics, consent, transparency, data availability, funding, conflict, or AI-use statements when applicable.
Assign risk severity using references/reviewer-risk-rubric.md.