metadata
tags:
- politics
- summarization
- climate change
- political party
license: afl-3.0
language:
- en
- es
- da
- de
- it
- fr
- nl
- pl
metrics:
- rouge
widget:
- text: >-
In the light of the current spate of organised vandalism perpetrated in
the names of Eco This or Stop Something Else, haven’t we seen this kind of
near mass-hysterical action before? With certain obvious exceptions, most
of the activists appear to be in the teens to early twenties bracket, and
of a comfortable so-called middle-class group. In any event, they have
been persuaded that this business of ‘climate change’ which has steadily
become some sort of cult, is about to destroy all life as we know it. In
reality, the world’s climate has been changing since the ‘Big Bang’ and
will continue so to do until the whole thing eventually fizzles out. They
have not yet cottoned on to the fact that by far the biggest threat to
human existence is that of overpopulation. What is more disturbing,
however, is the ease with which they have been recruited into behaving as
they do – with no regard to everybody else’s opinions and wishes. Whether
by disrupting a Snooker Tournament, the Grand National, obstructing
motorways or whatever else, it is clear that there is a core group of
these ‘eco’ fanatics who can be directed to any place or event that
somebody decides should be attacked, whenever and wherever they choose.
For this to happen, there has to be a hierarchy at large, as opposed to
and directing the cannon fodder who actually make the mischief. As we have
seen on various other occasions, it is those ‘useful idiots’ who do the
dirty work while the organisers stay safely away and laugh at those
gullible enough to take it all in, regardless of the veracity of their
cause’ or the consequences of their mindless actions. This is not new by
any means. The Nazis in pre-war Germany used similar tactics involving
some sort of brainwashing and intimidation, which resulted in the
emergence of Hitler Youth and we all know what a misguided bunch they
eventually turned out to be. Of more concern these days is the potential
for the organisers of these events to bring together at short notice a
substantial gang of activists who can be easily manipulated into carrying
out acts of serious civil disobedience against any stratum of society they
decide needs their form of correction or treatment. This is a form of
grooming however you look at it. Of course, there will be a percentage
who will duck out of any really serious civil disorder, but that would
still leave a substantial number of organised troublemakers who will
relish the thought of seizing some sort of power to affect political
thought or action. This is generally accompanied by those seeking to
maximise damage to public and private property. It is regrettable that the
Courts have so far failed to acknowledge this current spate of ochlocracy.
Meanwhile, we all have to put up with that troublesome element intent on
testing the boundaries of a decent democratic society.
example_title: 'English (Political party: UKIP)'
- text: >-
Die Bekämpfung illegaler Migration ist eine gemeinsame Priorität von
Österreich und Indien, gerade vor dem Hintergrund der dramatisch
gestiegenen Ankunftszahlen illegaler Migrantinnen und Migranten aus Indien
im vergangenen Jahr. Ausdruck dessen findet sich im Abkommen über eine
umfassende Migrations- und Mobilitätspartnerschaft, die Außenminister
Alexander Schallenberg und sein indischer Amtskollege, Subrahmanyam
Jaishankar, am Rande des EU-Indopazifik-Ministerforums in Stockholm
unterzeichnet haben. Damit wurde erstmals eine vertragliche Grundlage für
Rückführungen nach Indien geschaffen, die zusammen mit der erfolgten
Abschaffung der visafreien Einreise aus Indien nach Serbien, für die sich
Kanzler und Innenminister erfolgreich eingesetzt haben, zu einem noch
deutlicheren Rückgang der illegalen Migration aus Indien führen wird. Aber
es geht dabei nicht nur um die Bekämpfung von illegaler Migration, sondern
auch viel mehr um die Stärkung legaler Migrationsmöglichkeiten,
insbesondere für die Fachkräfte, die Österreich dringend benötigt. Hierbei
soll zukünftig zuerst Kontakt zwischen Firmen und den potentiellen
Arbeitskräften hergestellt werden, wobei die Zusammenarbeit zwischen
staatlichen Agenturen indischen Staatsangehörigen erleichtern soll, einen
geeigneten Arbeitgeber in Österreich zu finden. Ein verbesserter Austausch
von Studierenden und eine zügige Visavergabe, vor allem für
Journalistinnen und Journalisten sowie in der Wissenschaft ist ebenfalls
vorgesehen. Für junge Menschen wird darüber hinaus die Chance geschaffen,
durch ein Working Holiday Programm im Zielland kurze, befristete
Arbeitsverhältnisse einzugehen oder Bildungseinrichtungen ohne
Beschäftigungsbewilligung zu nutzen. Außenminister Alexander Schallenberg:
„Das Abkommen ist ein Meilenstein in unseren Beziehungen mit dem
bevölkerungsreichsten Land der Welt. Es schafft Möglichkeiten, indische
Arbeitskräfte beispielsweise im Rahmen der Rot-Weiß-Rot Karte nach
Österreich zu bringen. Hochqualifizierte Inderinnen und Inder können nun
dort Lücken schließen, wo es in Österreich an Arbeitskräften fehlt.“
example_title: 'German (Political party: Austrian People''s party)'
Facebook/bart-large-cnn model
This model is intended to summarize political texts regarding climate change, the environment and energy. The model was fine-tuned on 7k political party press releases from 66 parties in 12 different countries and is intended to identify the primary issue of the press release, the position of the party on the primary issue, and a 1-2 sentence summary. Training Data primarily consists of GPT-4 responses asking for summaries of the press releases. Small modifications were also made to the summaries from GPT-4 when validating the responses. I also made all the training text summaries lower case by accident (oops!), so outputs are lowercase.
Note The model is pretty good at identifying the primary issue of any text, but it'll refer to the author of the text as 'the party' and summarize the "position" of the party as such.
Countries included in Training Data = ['Italy', 'Sweden', 'Switzerland', 'Netherlands', 'Germany', 'Denmark', 'Spain', 'UK', 'Austria', 'Poland', 'Ireland', 'France']