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the influence of linguistic factors on the expression of futurity

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THE EXPRESSION OF FUTURITY IN MARTINIQUE FRENCH 145<br />

Table 2: Fixed-effect regressi<strong>on</strong> analysis <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>linguistic</str<strong>on</strong>g> <str<strong>on</strong>g>factors</str<strong>on</strong>g> c<strong>on</strong>tributing to PF selecti<strong>on</strong><br />

Factor Weight % N Tokens Log-odd<br />

Temporal distance<br />

Within 24 hours 0.78 88.4 38 43 1.252<br />

Within <str<strong>on</strong>g>the</str<strong>on</strong>g> week 0.67 81.3 26 32 0.706<br />

Indeterminate 0.65 77.0 261 339 0.612<br />

Within <str<strong>on</strong>g>the</str<strong>on</strong>g> year 0.59 71.9 23 32 0.338<br />

L<strong>on</strong>ger than a year 0.24 39.0 16 41 -1.178<br />

C<strong>on</strong>tinuous 0.15 26.9 7 26 -1.729<br />

Range 63<br />

Grammatical pers<strong>on</strong><br />

O<str<strong>on</strong>g>the</str<strong>on</strong>g>r 0.81 75.5 367 486 1.45<br />

Impers<strong>on</strong>al il 0.19 14.8 4 27 -1.45<br />

Range 62<br />

Adverbial specificati<strong>on</strong><br />

Specific 0.70 82.4 28 34 0.885<br />

No modificati<strong>on</strong> 0.49 72.6 326 449 -0.053<br />

N<strong>on</strong>-specific 0.30 56.7 17 30 -0.823<br />

Range 40<br />

Not significant: Sentential polarity, Certainty, Influence <str<strong>on</strong>g>of</str<strong>on</strong>g> si, Presence/Absence <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

quand<br />

Deviance=505.181; df=9; Intercept=-0.592; Mean=0.723;<br />

Nagelkerke R 2 =0.256<br />

Temporal distance is selected as <str<strong>on</strong>g>the</str<strong>on</strong>g> most influential <str<strong>on</strong>g>linguistic</str<strong>on</strong>g> c<strong>on</strong>straint with a range<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> 63. This finding is in line with both Acadian studies (King & Nadasdi 2003, Comeau 2011),<br />

which report that this factor group is <str<strong>on</strong>g>the</str<strong>on</strong>g> str<strong>on</strong>gest predictor <str<strong>on</strong>g>of</str<strong>on</strong>g> variant choice. Note that <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

hypo<str<strong>on</strong>g>the</str<strong>on</strong>g>sis that PF would be more frequent in cases where <str<strong>on</strong>g>the</str<strong>on</strong>g> future event is proximal to <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

speech act has been substantiated in <str<strong>on</strong>g>the</str<strong>on</strong>g> present study. As a matter <str<strong>on</strong>g>of</str<strong>on</strong>g> fact, in Martinique,<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g>re appears to be a linear correlati<strong>on</strong> between <str<strong>on</strong>g>the</str<strong>on</strong>g> future variants and temporal distance. This<br />

is <str<strong>on</strong>g>the</str<strong>on</strong>g> first French variati<strong>on</strong>ist study to report a straightforward linear associati<strong>on</strong> between<br />

future variants and <str<strong>on</strong>g>the</str<strong>on</strong>g> degree <str<strong>on</strong>g>of</str<strong>on</strong>g> temporal distance.<br />

However, <str<strong>on</strong>g>the</str<strong>on</strong>g> proximate/distal cut-<str<strong>on</strong>g>of</str<strong>on</strong>g>f point in <str<strong>on</strong>g>the</str<strong>on</strong>g> Martinique system differs notably<br />

from what we find in Acadian French. King and Nadasdi (2003: 333) report that, for<br />

Newfoundland and Prince Edward Island, <strong>on</strong>ly those events expected to occur up to a week<br />

following speech time favour PF. In Baie Sainte-Marie, Comeau (2011: 227–8) notes that<br />

speakers <strong>on</strong>ly select <str<strong>on</strong>g>the</str<strong>on</strong>g> periphrastic variant for events set to occur within an hour <str<strong>on</strong>g>of</str<strong>on</strong>g> speech<br />

time. Both Acadian studies report that <str<strong>on</strong>g>the</str<strong>on</strong>g> factor weights remain relatively stable at <str<strong>on</strong>g>the</str<strong>on</strong>g> 0.5<br />

level after a week post-speech time. This result indicates that <str<strong>on</strong>g>the</str<strong>on</strong>g> effect <str<strong>on</strong>g>of</str<strong>on</strong>g> temporal distance<br />

in <str<strong>on</strong>g>the</str<strong>on</strong>g>se varieties is neutralised in <str<strong>on</strong>g>the</str<strong>on</strong>g> more distal time c<strong>on</strong>texts. In Martinique, however, <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

probability that speakers will select <str<strong>on</strong>g>the</str<strong>on</strong>g> periphrastic future gradually declines and PF becomes<br />

disfavoured <strong>on</strong>ly after 12 m<strong>on</strong>ths (F.W.=0.24). It is also disfavoured in c<strong>on</strong>tinuous c<strong>on</strong>texts<br />

(F.W.=0.15).<br />

However, it was not possible to ascribe a precise future reference to 66% (N=339) <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

tokens in my data. These indeterminate tokens favour <str<strong>on</strong>g>the</str<strong>on</strong>g> periphrastic c<strong>on</strong>structi<strong>on</strong><br />

(F.W.=0.65). They were included in <str<strong>on</strong>g>the</str<strong>on</strong>g> model because, in Rbrul, you cannot exclude tokens<br />

from a specific factor group and retain <str<strong>on</strong>g>the</str<strong>on</strong>g>m in all o<str<strong>on</strong>g>the</str<strong>on</strong>g>rs. I <str<strong>on</strong>g>the</str<strong>on</strong>g>refore decided to rerun <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

model using GoldVarb Li<strong>on</strong> (D. Sank<str<strong>on</strong>g>of</str<strong>on</strong>g>f, Tagliam<strong>on</strong>te & Smith 2012), which is essentially<br />

based <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> same statistical principle, namely multiple logistic regressi<strong>on</strong>. I was thus able to

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