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Migrants, Minorities, Belongings and Citizenship. Glocalization and ...

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Table 12. Alignments/Misalignments in the Public Spaces<br />

Dimension<br />

1 2<br />

Numeric Channel ,716 ,399<br />

General Policy Issues<br />

Corporate<br />

Channel<br />

Essentialized<br />

Spaces<br />

,535 ,424<br />

-,487 ,781<br />

Glocal Spaces ,782 -,296<br />

Numeric Channel ,457 ,624<br />

Belonging Policy<br />

Issues<br />

Corporate<br />

Channel<br />

Essentialized<br />

Spaces<br />

,777 ,455<br />

-,380 ,769<br />

Glocal Spaces ,848 -,289<br />

Variance accounted for (%) 41,56 28,85<br />

1. Variable Principal Normalization used.<br />

2. 2 dimension solution imposed.<br />

3. Ranking dicretization used.<br />

4. Total accounted variance is 70,4% (rounded).<br />

The dimensions uncovered with the CATPCA-procedure are both bipolar. They indicate<br />

diverse types of alignments <strong>and</strong> misalignments. The first dimension in Table 12 indicates<br />

the presence of (1) a connection between the national (numeric <strong>and</strong> corporate channels)<br />

<strong>and</strong> glocal spaces, (2) a detachment between essentialized <strong>and</strong> other spaces. The second<br />

dimension indicates (1) a connection between essentialized <strong>and</strong> national spaces <strong>and</strong> (2) a<br />

detachment between glocal spaces <strong>and</strong> all the other public spaces. On the other h<strong>and</strong>,<br />

these two dimensions can also be used to measure the degree of alignments <strong>and</strong><br />

misalignments. Thus, in the following analysis, these two dimensions are used to<br />

determine both the types <strong>and</strong> the degrees of alignments <strong>and</strong> misalignments.<br />

The first dimension (horizontal axis) separates between essentialized spaces <strong>and</strong> other<br />

spaces. Respondents who score low on this dimension are content with how their<br />

preferences are represented, articulated <strong>and</strong> voiced in essentialized public spaces. The<br />

low-scorers are at the same time discontent with the other channels/spaces. Those who<br />

87

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