Redressing the Balance in the Native Speaker Debate: Assessment Standards, Standard Language, and Exposing Double Standards

Abstract

Abstract In his philosophical novel, Thus spoke Zarathustra, Nietzsche (1883–85), famously wrote, ‘God is dead,’ signifying that God is no longer credible as an absolute moral compass. Over a century later, Paikeday (1985), proclaimed that The native speaker is dead! in his book title, implying that the native speaker as the arbiter of what is correct in a language is obsolete. This paper discusses this complex, contentious ideological issue from language assessment and sociolinguistic standpoints against the backdrop of global Englishes. After highlighting difficulties identifying standard language norms, we discuss the practical need of having some assessment standard against which to evaluate language performance. Proposals as to what that standard should be are then critiqued in view of ways that second language proficiency has been operationalized in assessment systems. Next, we argue against vilifying those who use the term ‘native speaker’ and consider terminological problems introduced by some reconceptualizing efforts. We argue that we have a long way to go as a field before reaching a truly post‐native speaker era, which would seem to be a reasonable aspiration for most, but not necessarily all contexts, and propose recommendations for addressing pressing research problems. This includes standardizing terminology to incorporate semantically transparent terms, exploring assessment alternatives that focus more on language use than standard language adherence, improving scoring systems to remove nativeness from the equation when inappropriate, and acknowledging a place for accuracy‐focused research within a broad tent of applied linguistics research traditions.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 29 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.