Abstract
Speakers make assumptions regarding the informativeness and saliency of referents in discourse and about their addressee’s cognitive status (memory and attention) regarding those referents. These assumptions, in turn, determine the forms (e.g., pronouns, NPs) speakers use when referring to entities. Gundel, Jeanette K., Nancy Hedberg & Ron Zacharski. 1993. Cognitive status and the form of referring expressions in discourse. Language 69(2). 274–307 proposed a set of implicationally related cognitive statuses in the Givenness Hierarchy that predict the forms speakers use to refer to entities in discourse. Greater levels of attention and memory predict the use of phonetically minimal referential forms and lesser levels predict more phonetically elaborate forms. Blackwell, Sarah E. & Margaret Lubbers Quesada. 2012. Third-person subjects in native speakers’ and L2 learners’ narratives: Testing (and revising) the Givenness Hierarchy for Spanish. In Kimberly Geeslin & Manuel Díaz-Campos (eds.), 14th Hispanic linguistics symposium, 142–164. Somerville: Cascadilla tested the predictive power of the Hierarchy for referring expressions in Spanish oral film-retell narratives. Results showed that speakers use the most minimal forms possible (e.g., null pronouns) even when the hierarchy predicts more elaborate forms. Assuming writers make fewer assumptions regarding readers’ level of attention and memory, the present study examines whether the revised Hierarchy proposed by Blackwell, Sarah E. & Margaret Lubbers Quesada. 2012. Third-person subjects in native speakers’ and L2 learners’ narratives: Testing (and revising) the Givenness Hierarchy for Spanish. In Kimberly Geeslin & Manuel Díaz-Campos (eds.), 14th Hispanic linguistics symposium, 142–164. Somerville: Cascadilla is valid for predicting referring forms in Spanish written film retell narrative discourse. The data corroborate that participants select subject forms as predicted, but also reveal an increased use of definite NPs, suggesting that the Hierarchy has a stronger predictive power for oral narratives where attention and memory play a greater role in referent identification.
Appendix 1: Output for Table 5
Null: | ||||||
Coefficients: | ||||||
Estimate | Std. Error | z value | Pr(>|z|) | |||
(Intercept) | 2.2644 | 0.1661 | 13.631 | <2e-16*** | ||
stylewritten | −0.8000 | 0.2416 | −3.311 | 0.00093*** | ||
Null deviance: 481.73 on 637 degrees of freedom | ||||||
Residual deviance: 470.93 on 636 degrees of freedom |
Overt: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −2.8610 | 0.2144 | −13.345 | <2e-16*** | |
stylewritten | −0.2599 | 0.4024 | −0.646 | 0.518 | |
Null deviance: 253.89 on 637 degrees of freedom | |||||
Residual deviance: 253.46 on 636 degrees of freedom |
DefNP: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −3.9536 | 0.3569 | −11.08 | <2e-16*** | |
stylewritten | 1.8421 | 0.4197 | 4.39 | 1.14e-05*** | |
Null deviance: 247.98 on 637 degrees of freedom | |||||
Residual deviance: 225.22 on 636 degrees of freedom |
PrpN: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −4.6563 | 0.5024 | −9.269 | <2e-16*** | |
stylewritten | 1.2744 | 0.6325 | 2.015 | 0.0439* | |
Null deviance: 111.14 on 637 degrees of freedom | |||||
Residual deviance: 106.87 on 636 degrees of freedom |
Appendix 2: Output for Table 7
Null: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | 1.5362 | 0.2674 | 5.746 | 9.14e-09*** | |
stylewritten | −1.3539 | 0.4039 | −3.352 | 0.000802*** | |
Null deviance: 161.70 on 139 degrees of freedom | |||||
Residual deviance: 150.29 on 138 degrees of freedom |
Overt: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −2.3979 | 0.3693 | −6.494 | 8.38e-11*** | |
stylewritten | −0.6466 | 0.8124 | −0.796 | 0.426 | |
Null deviance: 72.049 on 139 degrees of freedom | |||||
Residual deviance: 71.344 on 138 degrees of freedom |
DefNP: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −3.8501 | 0.7146 | −5.388 | 7.12e-08*** | |
stylewritten | 2.4920 | 0.8064 | 3.090 | 0.002** | |
Null deviance: 77.075 on 139 degrees of freedom | |||||
Residual deviance: 64.027 on 138 degrees of freedom |
PrpN: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −4.554 | 1.005 | −4.530 | 5.89e-06*** | |
stylewritten | 2.889 | 1.086 | 2.659 | 0.00784** | |
Null deviance: 61.329 on 139 degrees of freedom | |||||
Residual deviance: 49.676 on 138 degrees of freedom |
Appendix 3: Output for Table 9
Null: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −2.0314 | 0.3760 | −5.402 | 6.58e-08*** | |
stylewritten | −0.7820 | 0.7034 | −1.112 | 0.266 | |
Null deviance: 73.912 on 121 degrees of freedom | |||||
Residual deviance: 72.566 on 120 degrees of freedom |
Overt: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −0.3814 | 0.2452 | −1.556 | 0.1198 | |
stylewritten | −0.8473 | 0.4097 | −2.068 | 0.0386* | |
Null deviance: 154.37 on 121 degrees of freedom | |||||
Residual deviance: 149.89 on 120 degrees of freedom |
Dem: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −3.0910 | 0.5902 | −5.237 | 1.63e-07*** | |
stylewritten | 0.5855 | 0.7866 | 0.744 | 0.457 | |
Null deviance: 53.604 on 121 degrees of freedom | |||||
Residual deviance: 53.043 on 120 degrees of freedom |
DefNP: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −1.0415 | 0.2742 | −3.799 | 0.000145*** | |
stylewritten | 1.1548 | 0.3884 | 2.973 | 0.002950** | |
Null deviance: 161.67 on 121 degrees of freedom | |||||
Residual deviance: 152.51 on 120 degrees of freedom |
PrpN: | |||||
Coefficients: | |||||
Estimate | Std. Error | z value | Pr(>|z|) | ||
(Intercept) | −1.8971 | 0.3575 | −5.307 | 1.11e-07*** | |
stylewritten | −0.3646 | 0.5904 | −0.618 | 0.537 | |
Null deviance: 86.947 on 121 degrees of freedom | |||||
Residual deviance: 86.557 on 120 degrees of freedom |
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Articles in the same Issue
- Frontmatter
- Editorials
- Remembering SHLL Associate Editor Kimberly Geeslin
- A Thank You and a Welcome
- Research Articles
- Cognitive Status and Subject Reference in Spanish Written Discourse
- El efecto del refuerzo de /b d ɡ/ en la percepción de acento extranjero en español
- The Temporal Relationships between the Pluscuamperfecto and mientras + Imperfecto
- Spanish Emphatic Possessives and Reflexivity
- Linguistic Contact in Perspective: Lateral Coda in Principense Portuguese
- Las vocales glotalizadas en el español guatemalteco: Un análisis sociofonético entre los hablantes bilingües (español-kaqchikel) y monolingües
- How Do You Say Madrid? Final /d/ Variation and the Indexicality of Madrilenian Localness
- Phonetic Context, Task Formality, Learner Level, and Orthographic Effects in L2 Spanish Palatal Obstruents
Articles in the same Issue
- Frontmatter
- Editorials
- Remembering SHLL Associate Editor Kimberly Geeslin
- A Thank You and a Welcome
- Research Articles
- Cognitive Status and Subject Reference in Spanish Written Discourse
- El efecto del refuerzo de /b d ɡ/ en la percepción de acento extranjero en español
- The Temporal Relationships between the Pluscuamperfecto and mientras + Imperfecto
- Spanish Emphatic Possessives and Reflexivity
- Linguistic Contact in Perspective: Lateral Coda in Principense Portuguese
- Las vocales glotalizadas en el español guatemalteco: Un análisis sociofonético entre los hablantes bilingües (español-kaqchikel) y monolingües
- How Do You Say Madrid? Final /d/ Variation and the Indexicality of Madrilenian Localness
- Phonetic Context, Task Formality, Learner Level, and Orthographic Effects in L2 Spanish Palatal Obstruents