lang-skills

Plugin lang-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• lang-data-analysis

  Use when planning or auditing the analysis of a Language (LSA) manuscript so the evidence credibly supports the theoretical claim. Covers quantitative modeling (mixed-effects in R), phonetic measurement, corpus statistics, and the analytic trail from glossed data or judgments to the generalization.

• lang-data-and-transparency

  Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities. Language values transparent, documented data; over-stating a mandated

• lang-literature-positioning

  Use when positioning a Language (LSA) manuscript within the literature so it reads as in dialogue with current linguistics across frameworks. Language reviewers are drawn from across subfields; the positioning must engage the strongest rival accounts fairly, not build a subfield-only wall. Maps the

• lang-rebuttal

  Use when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format. Turns reviewer objections into a point-by-point revision plan that engages rival frameworks and firms up evidence. Structures t

• lang-research-design

  Use when defending the empirical design of a Language (LSA) manuscript on the terms of its subfield — elicitation and fieldwork, corpus construction, phonetic measurement, experiment, or the diachronic/typological sample. Language judges each kind of evidence by its own standards, and the design mus

• lang-review-process

  Use when anticipating how a Language (LSA) manuscript will be judged — the double-anonymous review, the general-audience and cross-framework bar, the desk-return filters (descriptive data dump, single-framework parochialism, undocumented data), and the decision categories. Sets expectations and stre

• lang-submission

  Use when running the final pre-submission preflight for Language (LSA) via the Cambridge University Press ScholarOne portal — double-anonymous anonymization, the section and word-limit rules (General Research Article ≤18,000 words; Review Article ≤5,000), the abstract, Leipzig glossing, IPA, the Lan

• lang-tables-figures

  Use when preparing the exhibits of a Language (LSA) manuscript — numbered examples, Leipzig-convention interlinear glosses, IPA transcription, tableaux/trees, and quantitative tables and figures. Language has specific conventions for linguistic examples that reviewers and typesetters enforce. Prepar

• lang-theory-building

  Use when turning a linguistic pattern into a theoretically grounded claim for a Language (LSA) manuscript — an analysis with explicit assumptions, observable predictions, and engagement across competing frameworks rather than inside one formalism. Structures the argument; it does not gloss data or r

• lang-topic-selection

  Use when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it. Language is a generalist flagship spanning every subfield; the test is a theoretically grounded contribution legible to the whole discipline, not a description of one language or a resu

• lang-workflow

  Use when starting or navigating any manuscript aimed at Language (Linguistic Society of America) and unsure which skill applies — it reads your stage and piece type (General Research Article, Research Report, Review Article, Discussion Note, or an online-only section: Perspectives, Phonological Anal

• lang-writing-style

  Use when polishing the prose and house style of a Language (LSA) manuscript so it reads for a general linguistics audience and conforms to the Language Style Sheet / Unified Style Sheet for Linguistics. Language prizes analysis legible across frameworks and subfields; jargon and single-formalism pro

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