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EnglandEnglish LanguageSyllabus dot point

What drives language change, and how do you use historical, social and technological context to explain it?

Contexts and causes of language change: the influence of printing and standardisation, technology and the internet, contact and travel, social change, and using context to explain change across texts (AO2, AO3, AO4 in H470/02 Section C).

What drives language change for OCR A-Level English Language (H470/02 Section C): the influence of printing and standardisation, technology and the internet, contact and travel, and social change, and how to use historical, social and technological context to explain change across texts.

Generated by Claude Opus 4.813 min answer

Reviewed by: AI editorial process; not yet individually human-reviewed

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  1. What this dot point is asking
  2. The answer
  3. Examples in context
  4. Try this
  5. A note on the causes

What this dot point is asking

Language does not change at random: historical, social and technological forces drive it, and OCR Component 02, Section C, rewards explaining change by reference to context. The marks come from tying linguistic differences to their causes. This dot point covers the main drivers of change, printing and standardisation, technology and the internet, contact and travel, and social change, and how to use context to explain change across texts (AO3, with AO2 and AO4).

The answer

A contexts-of-change answer succeeds when it explains linguistic change by its causes (AO3), weighs the drivers critically (AO2), and connects the change across texts (AO4). The unifying idea is that change is caused, not arbitrary: every difference between an older and a newer text has a context that helps explain it, and the analyst's task is to make that connection rather than merely note the difference.

The drivers of change

A handful of forces drive most change, and naming them is the AO2-and-AO3 foundation.

  • Printing and standardisation. The spread of the printing press, dictionaries (such as Johnson's) and grammars drove the standardisation of spelling, punctuation and grammar from the early modern period, so older texts show variable, non-standardised forms.
  • Technology and the internet. New technologies create new things to name (new lexis) and new modes of communication; the internet has driven abbreviation, emoji, and the speech-like informality of digital writing.
  • Contact and travel. Trade, empire, migration and travel bring contact with other languages, the main source of borrowing across English's history.
  • Social change. Changing society alters what speakers need to express and what is acceptable, driving change in vocabulary and in the connotations of words.

Weigh the causes critically

Questions that name one cause ("technology is the most important driver") require judgement. A strong answer analyses the named cause but weighs it against the others, recognising that change usually has multiple, interacting causes and that some processes (standardisation) operate over centuries while others (internet abbreviation) are recent. Reaching a weighed judgement, rather than attributing everything to one cause, is the AO2 prize.

Connect context, feature and trajectory

AO3 is satisfied by the link between a feature and its cause; AO4 by tracking the change across the texts. The strongest answers do both: they explain a difference by its context and read it as part of a trajectory (spelling standardising over time, lexis renewing with technology). Always make the connection explicit, rather than writing context as separate background.

Examples in context

The texts in the exam are unseen, so the moves below are illustrative.

A model context paragraph. "The earlier text's variable spelling (the same word spelled differently within a page) and its heavy, comma-spliced punctuation are not errors but features of a pre-standard era: the text predates the full standardising influence of print, dictionaries and prescriptive grammars, which had not yet fixed spelling and punctuation. Tied to this context, the differences from the present-day text's regularised orthography track the long process of standardisation, explaining the change rather than merely noting it." This ties features to the cause and the trajectory.

A model evaluation paragraph. "Technology clearly drives some of the recent text's features, the abbreviations, the new compounds for digital concepts, the speech-like informality, but it is not the sole cause: social change has altered the register considered acceptable in public writing, and contact continues to bring borrowings. Weighed across the data, technology is a major but not exclusive driver, accelerating change rather than solely causing it, which is the judgement the evidence supports." This weighs the causes critically.

Try this

Q1. How did printing drive language change? [2 marks]

  • Cue. The spread of print, dictionaries and grammars drove the standardisation of spelling, punctuation and grammar, fixing forms that had previously been variable.

Q2. Why is single-cause thinking a weakness in explaining change? [2 marks]

  • Cue. Change usually has multiple, interacting causes operating over different timescales; attributing everything to one driver (such as technology) misrepresents how change happens.

Q3. Evaluate the view that technology is the most important driver of recent language change, with reference to the data. [18 marks]

  • What the marker wants. Analysis of technology-driven change weighed against other causes (AO2), explaining features by context (AO3) and connecting the change across the texts (AO4), reaching a judgement.

A note on the causes

This guide is AI-written and not individually human-reviewed. The drivers of change named here are standard for H470; confirm the expected coverage against the current specification and your centre's materials. Always tie linguistic change to its context rather than writing context as separate background.

Exam-style practice questions

Practice questions written in the style of OCR exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

OCR H470/02 2019, Section C18 marksAnalyse how the historical and social context of the texts helps explain the differences between them. [the 18-mark half of a Section C task]
Show worked answer →

A Section C task foregrounding the context of change. AO3 (how contextual factors explain change), AO2 (the concepts and causes) and AO4 (connections across the texts) all count, with AO3 prominent.

A strong answer explains the linguistic differences by reference to context: the standardisation of spelling and grammar following the spread of printing and dictionaries; the influence of technology and the internet on recent change; contact with other languages through trade, empire and migration; and social change altering what needs to be expressed. Each linguistic feature is tied to a contextual cause.

Reward AO3 for explaining change through context, AO2 for the causes as concepts, and AO4 for connecting the texts over time. Weaker answers describe differences without explaining their causes, assert context with no link to features, or treat older language as simply primitive rather than shaped by its time.

OCR H470/02 2021, Section C18 marksEvaluate the view that technology is the most important driver of recent language change, with reference to the data. [the 18-mark half of a Section C task]
Show worked answer →

A task weighing one cause (technology) of change. AO2, AO3 and AO4 are assessed.

A high-band answer weighs technology against other drivers: it analyses technology-driven features (new lexis, abbreviation, the speech-like informality of digital writing) but weighs them against contact, social change and the longer processes of standardisation, reaching a judgement about how far technology is the main cause. It reads the data and connects the changes across the texts.

Reward AO2 for weighing the causes critically, AO3 for explaining change through context, and AO4 for the connections. Weaker answers attribute all change to technology, list features without explaining their causes, or fail to weigh the alternatives the command "evaluate" requires.

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