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Frames of reference in discourse: Spatial descriptions in Bashkir (Turkic)

  • Tatiana Nikitina EMAIL logo
Published/Copyright: July 14, 2018

Abstract

In spite of the growing body of research on frames of spatial reference, a number of important questions remain unanswered. This study explores reference frame use in Bashkir, based on a linguistic matching task and a nonverbal task. In the linguistic task, speakers relied freely on intrinsic and relative frames. In intrinsic descriptions, two different kinds of mapping were attested: a mapping based on the Ground’s function, and a mapping based on the Ground’s shape. Several factors were identified that affect the choice of linguistic description, including lexical choice, the chair’s orientation with respect to the viewer, and the speaker’s age. Interference from Russian was not a significant factor. The repair strategies speakers used when encountering misunderstanding suggest that they were not aware of the source of their difficulties. A number of previous studies reported, for different languages, a correlation between reference frame use in linguistic and nonlinguistic tasks, supporting the linguistic relativity hypothesis. The data from Bashkir shows no such correlation: nonverbal coding strategies did not correspond to the same individual’s linguistic strategies, but correlated with the use of Russian in linguistic descriptions. I interpret this finding tentatively as pointing toward a mediated relationship between spatial cognition and language.

Acknowledgements

The study was supported by the National Science Foundation under Grant No. BCS-1053123 Spatial language and cognition beyond Mesoamerica (PI J. Bohnemeyer). I thank all my participants, as well as Elena Perekhvalskaya and Sergey Say who helped organize my stay in the village of Rakhmetovo, and Maria Ovsjannikova for comments and discussion.

Appendix

Linear mixed-effects model predicting the use of the relative frame of reference

>summary(lmer(relative ~ chair_aligned_FrBack+ball_FB_ego+term_FB+(1|speaker)+ego_comp_with_prec+descr+Russian+over_25+geo_above_6+gender, data=b_ch, REML=FALSE))

AICBIClogLikdeviancedf.resid
97.5130.8–36.873.5106
Scaled residuals:
Min1QMedian3QMax
–3.8794–0.47870.11050.74001.5533
Random effects:
Groups NameVarianceStd.Dev.
speaker (Intercept)0.0022820.04777
Residual0.1071150.32728

Fixed effects:

EstimateStd. Errort value
(Intercept)0.602160.125184.811
chair_aligned_FrBack–0.647700.12774–5.070
ball_FB_ego0.576350.071268.088
term_FB–0.554000.07027–7.884
ego_comp_with_prec0.252180.100412.511
descrchair0.206550.365140.566
Russian–0.031640.08421–0.376
over_25–0.289760.10235–2.831
geo_above_6–0.032520.08509–0.382
gendermasc–0.112880.08260–1.367

Correlation of Fixed Effects:

(Intr)ch__FBbl_FB_trm_FBeg_c__dscrchRussinovr_25g_bv_6
chair_xp_FB–0.420
ball_FB_ego–0.1330.042
term_FB–0.4560.263–0.220
eg_cmp_wth_–0.6320.1780.1090.135
descrchair–0.073–0.2590.0450.0550.234
Russian–0.1260.0020.108–0.0810.0010.022
over_250.0500.105–0.064–0.078–0.227–0.100–0.186
geo_above_6–0.4620.115–0.0260.076–0.040–0.0880.146–0.296
gendermasc–0.0840.143–0.040–0.030–0.306–0.216–0.0720.510–0.095

Anova(lmer(relative ~ chair_aligned_FrBack+ball_FB_ego+term_FB+(1|speaker)+ego_comp_with_prec+descr+Russian+over_25+geo_above_6+gender, data=b_ch, REML=FALSE))

Analysis of Deviance Table (Type II Wald chisquare tests)

Response: relative

ChisqDfPr(>Chisq)
chair_aligned_FrBack25.709613.969e-07 ***
ball_FB_ego65.418416.057e-16 ***
term_FB62.157413.171e-15 ***
ego_comp_with_prec6.307510.012023 *
descr0.320010.571607
Russian0.141210.707119
over_258.015510.004638 **
geo_above_60.146110.702320
gender1.867510.171758
---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Linear mixed-effects model predicting the use of the function-based vs. shape-based mapping for intrinsic responses

Formula: function_only ~ chair_aligned_FrBack+ball_FB_ego+term_FB+(1 | speaker)+funct_comp_with_prec+descr+Russian+over_25+geo_above_6+gender

AICBIClogLikdeviancedf.resid
60.496.8–18.236.4142

Scaled residuals:

Min1QMedian3QMax
–2.1613–0.3077–0.06460.00003.3990

Random effects:

Groups NameVarianceStd.Dev.
speaker (Intercept)0.000000.0000
Residual0.074160.2723

Fixed effects:

EstimateStd.Error t value
(Intercept)0.08388060.06721581.248
chair_aligned_FrBack–0.05968050.0560848–1.064
ball_FB_ego–0.42058190.0616412–6.823
term_FB0.48731360.05935088.211
funct_comp_with_prec0.43794550.05430428.065
descrchair0.45088200.19667252.293
Russian–0.00378020.0583364–0.065
over_25–0.00372770.0651330–0.057
geo_above_6–0.00035880.0558624–0.006
gendermasc–0.00912710.0510356-0.179

Correlation of Fixed Effects:

(Intr)ch__FBbl_FB_trm_FBfnc___dscrchRussinovr_25g_bv_6
chair_xp_FB–0.478
ball_FB_ego–0.1150.007
term_FB–0.3450.369–0.463
fnct_cmp_w_–0.2240.0630.405–0.439
descrchair–0.062–0.0070.0450.0510.049
Russian–0.170–0.0610.080–0.0740.0200.034
over_25–0.0860.027–0.0850.089–0.1960.063–0.178
geo_above_6–0.5870.067–0.0210.0220.077–0.0750.190–0.347
gendermasc–0.3440.068–0.0050.060–0.0240.017–0.1640.474–0.136

Significance measures

>Anova(lmer(function_only ~ chair_aligned_FrBack+ball_FB_ego+term_FB+(1|speaker)+funct_comp_with_prec+descr+Russian+over_25+geo_above_6+ gender, data=b_ch, REML=FALSE))

Analysis of Deviance Table (Type II Wald chisquare tests)

Response: function_only

ChisqDfPr(>Chisq)
chair_aligned_FrBack1.132310.28728
ball_FB_ego46.554218.912e-12 ***
term_FB67.41611<2.2e-16 ***
funct_comp_with_prec65.039017.343e-16 ***
descr5.255810.02187 *
Russian0.004210.94833
over_250.003310.95436
geo_above_60.000010.99487
gender0.032010.85807
---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

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Received: 2016-07-21
Revised: 2018-03-24
Accepted: 2018-03-25
Published Online: 2018-07-14
Published in Print: 2018-08-28

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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