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Academic Writing Conventions

Table of Contents

  1. Academic Tone and Voice
  2. Sentence and Paragraph Construction
  3. Argumentation and Logic
  4. Common Errors to Avoid
  5. Discipline-Specific Conventions

1. Academic Tone and Voice

Formality Levels

High Formality (STEM, Law, Medicine):

  • Avoid contractions (use "cannot" not "can't")
  • Minimize personal pronouns
  • Use passive voice strategically
  • Employ technical terminology precisely

Moderate Formality (Social Sciences, Humanities):

  • Personal pronouns acceptable in methodology
  • Active voice preferred for clarity
  • Balance between accessibility and precision

Objectivity

Maintain neutrality:

  • Present multiple perspectives
  • Acknowledge counterarguments
  • Use hedging language: "suggests," "appears," "may indicate"
  • Avoid absolute statements: "proves," "always," "never"

Hedge appropriately:

  • Strong evidence: "demonstrates," "shows," "indicates"
  • Moderate evidence: "suggests," "implies," "may reflect"
  • Weak evidence: "might," "could," "appears to"

Precision

Be specific:

  • "Many studies show..."
  • "A meta-analysis of 47 studies [1] demonstrates..."

Use technical terms correctly:

  • Define specialized terms on first use
  • Maintain consistency in terminology
  • Use standard abbreviations

2. Sentence and Paragraph Construction

Sentence Structure

Clarity principles:

  • One main idea per sentence
  • Subject-verb proximity
  • Active voice for clarity (when appropriate)
  • Vary sentence length for readability

Examples:

Weak: "It was found by the researchers that the algorithm performed better." Strong: "The algorithm demonstrated superior performance [1]."

Weak: "There are many factors that contribute to climate change." Strong: "Multiple factors contribute to climate change, including greenhouse gas emissions, deforestation, and industrial activity [2]."

Paragraph Structure

Standard academic paragraph:

  1. Topic sentence: Introduces main idea
  2. Evidence: Supporting data, citations, examples
  3. Analysis: Interpretation and explanation
  4. Link: Connection to thesis or transition to next point

Example:

"Machine learning algorithms have transformed medical diagnostics [Topic]. Recent studies demonstrate that deep learning models achieve diagnostic accuracy comparable to expert physicians in radiology [1], dermatology [2], and pathology [3] [Evidence]. This performance stems from the algorithms' ability to recognize complex patterns in large datasets that may elude human observation [Analysis]. These advances suggest a paradigm shift in clinical decision-making processes [Link]."

Transitions

Between paragraphs:

  • However, Moreover, Furthermore
  • In contrast, Similarly, Conversely
  • Consequently, Therefore, Thus
  • First, Second, Finally

Within paragraphs:

  • Additionally, Also, Furthermore
  • For example, For instance, Specifically
  • In other words, That is to say
  • Nevertheless, Nonetheless, Still

3. Argumentation and Logic

Thesis Development

Strong thesis characteristics:

  • Specific and focused
  • Arguable (not self-evident)
  • Supported by evidence
  • Addresses "so what?" question

Examples:

Weak: "Social media affects society." Strong: "Social media platforms' algorithmic curation of content contributes to political polarization by creating echo chambers that reinforce existing beliefs and limit exposure to diverse viewpoints."

Evidence Integration

Citation placement:

Author-prominent: "Smith et al. [1] argue that quantum computing will revolutionize cryptography."

Information-prominent: "Quantum computing threatens current cryptographic methods [1], [2]."

Synthesis of multiple sources: "While some researchers emphasize the benefits of AI in education [1], [3], others highlight potential risks [2], [4]."

Logical Fallacies to Avoid

  1. Hasty generalization: Drawing broad conclusions from limited evidence
  2. False causation: Assuming correlation implies causation
  3. Appeal to authority: Relying solely on credentials without evidence
  4. Straw man: Misrepresenting opposing arguments
  5. Cherry picking: Selecting only supporting evidence

4. Common Errors to Avoid

Wordiness

"Due to the fact that" "Because"

"In order to" "To"

"It is important to note that" Delete (unnecessary)

Redundancy

"Past history," "future plans," "advance warning" "History," "plans," "warning"

Vague Language

"Things," "stuff," "a lot," "very" Specific nouns and precise quantifiers

Inappropriate Register

"The data is super interesting and shows..." "The data reveals significant patterns..."

Anthropomorphism

"The study wants to prove..." "This study aims to demonstrate..."

"The paper believes that..." "This paper argues that..."

5. Discipline-Specific Conventions

STEM Fields

Characteristics:

  • Emphasis on methodology and reproducibility
  • Extensive use of figures, tables, equations
  • Passive voice acceptable in methods sections
  • Present tense for established facts, past tense for specific studies

Example: "Samples were collected from five sites (Methods). Figure 1 shows the temperature distribution (Results). These findings indicate that thermal gradients affect reaction rates (Discussion)."

Social Sciences

Characteristics:

  • Theoretical frameworks prominently discussed
  • Qualitative and quantitative methods
  • First-person acceptable in reflective methodology
  • Past tense for research conducted, present for ongoing debate

Example: "Previous research suggests that socioeconomic factors influence educational outcomes [1]. We conducted semi-structured interviews with 30 participants to explore this relationship."

Humanities

Characteristics:

  • Emphasis on interpretation and analysis
  • Extensive engagement with primary texts
  • Present tense for discussing texts/artworks
  • More flexible citation practices (footnotes common)

Example: "In Pride and Prejudice, Austen critiques the marriage market of Regency England. Elizabeth Bennet's refusal of Mr. Collins represents a radical assertion of female autonomy."

Engineering

Characteristics:

  • Focus on problem-solving and implementation
  • Detailed technical specifications
  • Extensive use of diagrams and schematics
  • Clear delineation of requirements and results

Example: "The proposed architecture achieves 95% accuracy with 40% lower computational complexity than existing methods [1]. Figure 2 illustrates the system design."

Best Practices Summary

  1. Clarity over complexity: Simple, direct language conveys ideas more effectively
  2. Evidence-based claims: Support all assertions with citations
  3. Logical structure: Organize ideas hierarchically and sequentially
  4. Consistent terminology: Use terms uniformly throughout
  5. Appropriate tone: Match formality to discipline and audience
  6. Active engagement: Show critical thinking, not just summary
  7. Revision: Multiple drafts improve quality significantly

Self-Review Checklist

  • Each paragraph has clear topic sentence
  • Claims supported by evidence
  • Transitions between ideas smooth
  • Tone formal and objective
  • Technical terms defined
  • No logical fallacies
  • Sentence variety maintained
  • Citations integrated smoothly
  • Discipline conventions followed
  • "So what?" question answered