Here you will find a dataset of annotated pointing gestures, a data coding manual, and r scripts for data analysis for the paper: Mesh, K. Pointing height marks target distance among the San Juan Quiahije Chatino. In the paper, I analyze how speakers of San Juan Quiahije Chatino (Oto-Mangean, Zapotecan) modulate the form of their pointing gestures to convey the distance of the pointing target. I analyze the form of over 800 pointing gestures produced during video recorded interviews, and show that Chatino speakers consistently follow the ‘far-is-up’ principle when pointing—the farther the referent, the higher the pointing arm will be raised. While this principle had thus far been only anecdotally observed in Latin America, I show that it is so robust in the pointing practices of the Chatino people that the form of the gesture alone reliably predicts the geographic distance of the target in landscape- scale space. The original video recordings that were annotated for the study are deposited with the Endangered Languages Archive: Mesh, K. (2018). “Gesture, Speech and Sign in Chatino Communities.” The Endangered Languages Archive. Access: Public. Deposit ID 0459. https://elar.soas.ac.uk
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Sep 10, 2021
Mesh, Kathryn, 2021, "Paper: Pointing height marks target distance among the San Juan Quiahije Chatino", https://doi.org/10.18738/T8/UBBZBS, Texas Data Repository, V1
Archived here is a PDF of the research publication, Mesh, Kate (2021). It's as far as the arm can raise: Pointing height marks target distance among the San Juan Quiahije Chatino. Lingua: 259. https://doi.org/10.1016/j.lingua.2021.103099.
Adobe PDF - 2.2 MB - MD5: 4d652cb860ebea0b608eef1ee9f0629a
Sep 15, 2020
Mesh, Kate, 2020, "Replication Data for Inter-Rater Reliability Measures", https://doi.org/10.18738/T8/NVMZ3D, Texas Data Repository, V1
Included here are a dataset with coding from the study author (Kate Mesh) and four reliability coders: Marcus Martinez and Phoebe Minz (undergraduate research assistants at The University of Texas at Austin), Salma Halabi and Yara Abu-Roker (undergraduate research assistants at t...
R Syntax - 3.0 KB - MD5: 0a51dede04cab2e4802d2a04dcc9607d
Comma Separated Values - 37.6 KB - MD5: f193b40357db37c180ca2f3004f63c74
Sep 15, 2020
Mesh, Kate, 2020, "Replication Data for Statistical Analysis", https://doi.org/10.18738/T8/ZEUO8B, Texas Data Repository, V1
Included here is a dataset with gesture form coding from the study author (Kate Mesh). Statistical analysis of the dataset was performed using R version 3.6.1 (R Core Team, 2019), with the package, lmer (Bates, Maechler, Bolcher & Walker, 2015). An R script is attached for the pu...
R Syntax - 2.2 KB - MD5: 90ec9cdd14258cf7da10b71271187f5e
Comma Separated Values - 181.8 KB - MD5: f06e009521ced4a2753de840a6314d56
Sep 15, 2020
Mesh, Kate, 2020, "Guidelines for Data Annotation", https://doi.org/10.18738/T8/FWOOJQ, Texas Data Repository, V1
Included here are a coding manual and supplementary examples of gesture forms (in still images and video recordings) that informed the coding of the first author (Kate Mesh) and four project reliability coders.
Adobe PDF - 163.5 KB - MD5: 866e7ac78e2ff2cfb5d10871a100d32b
Full annotation guidelines for the far-is-up study.
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