- The committee has created a new methodological model which makes it possible to evaluate the work of every parliamentary committee.
- Utskottet har skapat en ny metodologisk modell som gör det möjligt att utvärdera arbetet i varje parlamentsutskott.
- Others, too, however, need to take action, the Commission for a start, whose function is to promptly - and I emphasise ’promptly’ - coordinate their personnel plans and put them before us, but also those of us who sit on the specialised committees, who are called upon to evaluate the work of each individual agency by reference to the work programmes, and that has to be done in pretty short order too if the agencies are not to be penalised for something for which they are not responsible, so please let there be no cliquery, and when I say ’prompt’, I mean that everything has to be sorted out in the first quarter of the following year.
- Andra måste dock också vidta åtgärder, till att börja med kommissionen, vars funktion är att snabbt - och jag betonar ”snabbt” - samordna sin personalplanering och lägga fram planerna för oss, men också för dem av oss som sitter i de fackutskott som ska utvärdera varje enskilt organs arbete med hänsyn till arbetsprogrammet, och det måste också göras ganska snart om organen inte ska straffas för något de inte har ansvar för, så låt det inte uppstå någon kotteribildning.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 15156 AND
t12.lemma_id = 10877 AND
t21.lemma_id = 10761 AND
t22.lemma_id = 40666),
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;
;