השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| Apparent-Time Analysis× | Variationist Sociolinguistics× | |
|---|---|---|
| תחום | בלשנות | בלשנות |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1963 | 1972 |
| הוגה השיטה | William Labov | William Labov |
| סוג≠ | Inferential design for detecting language change in progress | Quantitative field study of socially conditioned linguistic variation |
| מקור מכונן≠ | Labov, W. (1963). The social motivation of a sound change. Word, 19(3), 273–309. DOI ↗ | Labov, W. (1972). Sociolinguistic Patterns. University of Pennsylvania Press. ISBN: 9780812210521 |
| כינויים | Apparent-Time Construct, Apparent-Time Hypothesis, Age-Stratified Change Analysis | Variationist Analysis, Labovian Sociolinguistics, Quantitative Sociolinguistics |
| קשורות | 4 | 4 |
| תקציר≠ | Apparent-time analysis is the foundational variationist method for detecting language change in progress without waiting for time to pass. Introduced by William Labov in his 1963 study of Martha's Vineyard, it compares the speech of speakers of different ages sampled at a single moment and treats the age dimension as a proxy for historical time: if younger speakers use a variant more than older speakers, that age gradient is read as evidence of change unfolding across generations. The inference rests on the apparent-time hypothesis — that an individual's vernacular is largely fixed in adolescence and remains stable through adult life — so that the speech of today's seventy-year-olds reflects the community norms of roughly fifty years ago. | Variationist sociolinguistics is the quantitative study of how linguistic variation is structured by social and linguistic factors. Pioneered by William Labov in the 1960s and 1970s, it treats alternative ways of saying the same thing — the 'linguistic variable' — as systematically conditioned by speaker characteristics (class, age, sex, ethnicity), stylistic context, and the surrounding linguistic environment, and it uses statistical modeling of natural speech to reveal the orderly heterogeneity beneath apparent randomness. |
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