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Abstract
This study analyses the translanguaging patterns of urban Cameroonians' linguistic choices (e.g. lexical or phonological) in everyday conversations in Cameroon. Using observation and audio-recordings of 20 naturally occurring conversations as data, a descriptive corpus-based methodology was adopted for analysis. The quantitative approach utilises AntConc (Version 3.5.8) with descriptive analytical tools to identify the speakers' idiolectal choices in meaning-making translanguaging patterns. The results revealed salient patterns of the speakers' deployed lexical, grammatical, morphological, phonological and syntactical forms as an integrated system of language. It revealed the speakers preference for polysemous words (e.g. repe) over less polysemous words (e.g. father); choice for shorter lexical words (e.g. man) over longer words (e.g. manpikin); a preference for specialised gender-neutral markers (e.g. ih, which refers to both male and female) over gender-specific forms (e.g. he/she); a preference for voiceless interdental fricatives (e.g. dem, dey) over voiced interdental fricatives (e.g. them, they) and where the choice of inflectional morpheme expressing tense (e.g. ed) is one that can either be omitted or added to a word, the presence of this inflectional morpheme is sometimes fairly used. Such results have practical implications for understanding peoples' language use as a translanguaging act in bi/multilingual contexts.

Who has which job? When this answer differs by race group or sex, inefficiencies such as labor market discrimination or suboptimal investment in education may be impeding productivity and sustaining inequities. We use US Census data to analyze the occupational structure of American Indian/Alaska Native (AI/AN) workers relative to non-Hispanic white workers. Relative to white workers, AI/AN workers are generally overrepresented in low-skilled occupations and underrepresented in high-skilled occupations, especially men and single-race AI/AN workers. AI/AN occupational dissimilarity does not appear to have declined substantially since 1980. Sex-specific multivariate analyses do not remove the significant inequalities in observed occupational outcomes.