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Record W330061704

The Economics of Minority Language Identity

2001· article· en· W330061704 on OpenAlexvenueaboutno aff
Peter S. Li

Bibliographic record

VenueCanadian ethnic studies · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupSociologyIdentity (music)EthnologyHumanitiesFirst languageGender studiesPolitical scienceAnthropologyLinguisticsArt
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT/RESUME The debate about whether identity helps or hinders social mobility is inconclusive because of differences in conceptualizing and measuring ethnic This paper examines how minority language, as one dimension of minority identity, changes, and what market returns it brings. Using the 1996 census microdata, the study finds substantial variations of non-official mother tongues and home languages, especially among foreign-born Canadians. By and large, non-official home languages and mother tongues produce net market penalties. whereas English mother tongue or home language yields positive net returns for men and women. The market disincentives associated with non-official languages and the incentives associated with English mother tongue or home language probably explain why minority languages decline in Canada in favour of English language. Despite the findings, the debate regarding identity and social mobility cannot be resolved without further examining the multi-dimensions of et hnic identity and how each influences economic outcomes. Le debat, a savoir si l'identite ethnique est benefique ou nefaste a la mobilite sociale, est concluant en raison des differences de la conceptualisation et des mesures de [much less than] l'identite ethnique [much greater than] L'auteur de l'article examine de quelle facon une langue minoritaire, en tant que dimension de l'identite minoritaire ethnique, change et quels en sont les effets. L'etude, qui repose sur des donnees du recensement de 1996, fait ressortir des ecarts considerables entre les langues maternelles non officielles et les langues parlees a la maison, surtout chez les Canadiens nes a l'etranger. Les langues maternelles non officielles et les langues parlees a la maison donnent certes lieu des penalites sur le marche alors que l'anglais comme langue maternelle ou langue parlee a la maison donne lieu a des avantages pour les hommes et les femmes. Les elements dissuasifs lies aux langues non officielles et les avantages lies a l'anglais comme langue maternelle ou utilisee a la maison expliquent pr obablement le declin des langues minoritaires au Canada en faveur de l'anglais. Malgre ces conclusions, le debat entourant l'identite ethnique et la mobilite sociale ne peut etre resolu sans examiner davantage les multiples dimensions de l'identite ethnique et de quelle facon chacune de ces dimension influe sur les resultats economiques. Social scientists have used different approaches in defining and measuring identity, and have come to conflicting conclusions regarding whether identity is a resource or a penalty for social mobility in Canadian society (Isajiw, Sev'er and Driedger, 1993; Kalbach and Kalbach, 1995). The controversy stems partly from the complexity in capturing the multidimensionality of identity, and partly from generalizing narrow interpretations based on different measurements of ethnicity or identity. Nevertheless, claims about whether identity improves or retards economic performance have serious theoretical implications. If identity contributes to economic betterment, then economic improvement also provides the material incentives for strengthening the preservation of identity. Conversely, if identity produces negative economic outcomes, such outcomes serve as penalties for maintaining a distinct identity, and its future retention is likely to be weakened. Rather than trying to study identity as an all-embracing concept in order to determine its multidimensional effects on an equally encompassing concept of social mobility, this paper examines a more focused dimension pertaining specifically to minority language identity in Canadian society. The purpose is to determine the extent to which non-official languages are being adopted as mother tongue and home language, and to examine the economic value of minority language identity in the labour market. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.354
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2001
Admission routes2
Has abstractyes

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