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Record W7065630805

ENDANGERMENT ABROAD: EVIDENCE FROM NEO-ARAMAIC POLITENESS, METAPHORICITY AND IDIOMATICITY

2017· dissertation· en· W7065630805 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2017
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsComprehensionCognitionPolitenessAcculturationLinguistic competenceConceptual metaphorNeuroscience of multilingualismLanguage and thought
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines Neo-Aramaic as an endangered language in the diaspora. It sheds some light on some linguistic and pragmatic aspects that have received little scholarly attention to date in Semitic literature, language endangerment and first language (L1) erosion in language contact studies. This thesis also draws attention to the fact that research on North Eastern Neo-Aramaic (NENA) dialects needs to take into account that language (pragmatics) is an emergent phenomenon, especially in contract situations. Linguists need to shift gears and start empirical research that is derived from contextualized language use. In three studies, the thesis addresses the role that acculturation plays in molding L1 communicative competence and, in turn, macro-linguistic components of language, such as idioms, metaphors and politeness strategies. Chapter 2 deals with animal-based metaphors as conceptual categories belonging to a rudimentary level of knowledge. We report evidence which shows that Neo-Aramaic-English bilinguals (NA-E) failed to provide interpretations of culturally distinct animal-based metaphors that align with the interpretations of older NA speakers. This finding indicates that the cognitive process of conceptualizing animal metaphors is motivated by the way NA-E bilinguals perceive the world around them in an environment where NA is considered the language of an ethnocultural group. This shift in the NA-E bilinguals’ cognition represents a departure from the concerted conceptualizations of their L1 culture. In chapter 3, we examined NA-E bilinguals’ comprehension of two sets of decomposable and non-decomposable NA idioms obtained from older NA speakers and chosen on the basis of their high familiarity. NA-E bilinguals’ performance showed a marked decline on both decomposable and nondecomposable task compared to Canadian-English monolingual speakers (CE). The evidence reported here shows a high degree of L1 erosion in figurative competence which is, to a large extent, dependent on cultural beliefs and conventions. The study in chapter 4 documents the effect of acculturation on NA-E bilinguals’ behavioural competencies in terms of separateness and connectedness politeness strategies. Chapter 4 foregrounds the idea that NA speakers represent a collectivist culture whereas CE speakers belong to individualistic cultures. The study shows that NA-E bilinguals diverge from the politeness patterns of their cultural group, but their shift is compatible with the individualistic cultural norms. It provides fresh evidence that cultural adaptation to the majority group shapes cultural cognition and thus prompts L1 speakers to approximate L2 cultural preferences. Taken all together, the findings of this thesis demonstrate that language erosion is not limited to the structural aspects of language (morphosyntax and phonology), but it extends, in a regressive fashion, to include more advanced skills that are necessary to develop native-like proficiency. By and large, language atrophy is not necessarily caused by mere linguistic factors, but rather by a number of extralinguistic factors and culture is one of them.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.240
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2017
Admission routes1
Has abstractyes

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