- The full principle of free movement also includes the right to take family members to the host country, but it turns out that in many cases social benefits are reserved for nationals only.
- Då visar det sig att flera sociala förmåner är förbehållna landets medborgare.
- The welfare state is being dissolved, the private sector is operating without hindrance, social benefits are being reduced and the institutional framework allows employers to hire and fire as they wish.
- Välfärdsstaten håller på att upplösas, den privata sektorn verkar utan några hinder, de sociala förmånerna skärs ned och den institutionella ramen gör det möjligt för arbetsgivare att anställa och avskeda som de vill.
- What use to us is the best Leonardo programme for the training of professionals, if such things as social benefits are not recognised or if there are yet other barriers standing in the way of real mobility, or if qualifications from university or vocational training in other states are not accorded the recognition that has long been overdue?
- Vad hjälper det att Leonardoprogrammet är bra på att utbilda specialister så länge exempelvis de sociala förmånerna inte godkänns eller andra hinder ligger i vägen för en verklig mobilitet, eller så länge studieresultat eller betyg från utbildningar i andra stater inte godkänns på det sätt som faktiskt är nödvändigt.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 19690 AND
t12.lemma_id = 65071 AND
t21.lemma_id = 18103 AND
t22.lemma_id = 65071),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;