- Different treatment has been adopted for European and non-European workers, thereby increasing competition between them and between foreign workers, depending on whether they are seconded or seasonal workers, students or residents.
- Man har infört olika behandling för europeiska och utomeuropeiska arbetstagare och därmed har konkurrensen mellan dem och utländska arbetstagare ökat, beroende på om de är utstationerade arbetstagare eller säsongsarbetare, studenter eller bosatta personer.
- This question is particularly crucial given that in December 1996 the European Court of Justice delivered a judgment ruling that the different treatment of employees at the European Joint Fusion Project, JET, was illegal.
- Denna fråga är särskilt viktig på grund av att EG-domstolen i december 1996 meddelade ett domslut som innebar att en olik behandling av de anställda vid EG:s fusionsforskningsprojekt, JET, var olaglig.
- I voted against the directive on a ’single permit’, because it is inspired by the Bolkestein Directive, which adopted the principle of the country of origin, thereby permitting different treatment of workers in respect of wages, terms, working times, social protection and so forth.
- Det är nämligen inspirerat av Bolkestein-direktivet som införde ursprungslandsprincipen och därigenom tillät olika behandling av arbetstagare när det gäller lön, villkor, arbetstider, socialt skydd och så vidare.
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 = 6427 AND
t12.lemma_id = 17375 AND
t21.lemma_id = 61297 AND
t22.lemma_id = 18527),
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;
;