- What we have seen and continue to see is an increase in inequalities in the world, a trend that will become greater if current neoliberal policies continue.
- Vad vi ser och fortsätter att se är en ökad ojämlikhet i världen, en trend som kommer att förstärkas om den nuvarande nyliberala politiken fortsätter.
- Moreover, it fails to mention the social reasons that lead to early school drop-out, to a lack of access to higher education opportunities and to youth unemployment, just so as to mask the responsibility of the neoliberal policies promoted by large companies and financial institutions.
- Därmed döljs det ansvar som vilar på den nyliberala politik som storföretag och finansinstitut förespråkar.
- These judgments uncover the EU’s class nature and who its neoliberal policies really benefit (and who they are driven by), dispelling all the speechifying about the much proclaimed ’social Europe’ and showing how EU policies are an affront to workers’ hard-won rights.
- De här domarna avslöjar EU:s klasstänkande och vem som egentligen gynnas av EU:s nyliberala politik (och vilka som driver på den).
- Two years on, more pressure is being exerted to step up the capitalist penetration of the EU, the neoliberal policies, the ever-faster militarisation and the centralisation of power into the hands of supranational institutions, which are becoming increasingly distant from the citizens and dominated by the major powers.
- Två år senare utövar man nya påtryckningar för att trappa upp kapitalisternas infiltration av EU, den nyliberala politiken, den allt snabbare militariseringen och maktkoncentrationen till överstatliga organisationer, som alltmer fjärmar sig från medborgarna och domineras av stormakterna.
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 = 25416 AND
t12.lemma_id = 27686 AND
t21.lemma_id = 6034 AND
t22.lemma_id = 47519),
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;
;