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← Ned O'Sullivan

Rhetoric and votes

Ned O'Sullivan

Experimental measure. Read the method before quoting a number.
This compares the position a member expressed in a debate with the way they voted in the division that debate produced. It is not a measure of honesty. A member who argues against a Bill and then votes against it scores as aligned; so does one who never departs from a party line they also argue for. Voting against your own stated view under a party whip is ordinary parliamentary behaviour, which is why the whip breakdown below sits next to the headline rather than underneath it. Full method and validation →
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only 3 scorable votes — below the 10 needed for an interval worth printing
100%
voted with their own party's majority · 209 votes

Why the denominator is small

The measure only exists where this member actually spoke in the debate their vote belongs to, and where that vote can be tied to a specific question. Both cuts are steep.

Votes cast209
… spoke in that debate section19
… vote tied to a specific question11
… position stated clearly enough to score3

The third row is the sharpest cut. A committee-stage sitting can hold fifteen divisions while its speeches discuss forty-two numbered amendments, and the record does not say which amendment each division was. Those votes are counted here and deliberately left unscored rather than guessed.

Alignment against the whip

The same scorable votes, split by whether the member went with their party. The top-right cell is the one worth reading: a stated position reversed while following the party line.

Voted with own partyVoted against own party
Matched their words 3 0
Contradicted their words 0 0

Not scored: 8 where the vote could not be tied to a question, 0 where no clear position was stated in the debate.

Tone

Valence runs −1 (negative) to +1 (positive). This is a separate measure from alignment above and says nothing about how anyone voted — "the Minister has been asleep at the wheel" is strongly negative and carries no position on the question.

ModelSpeeches scored Mean valenceCorpus mean
vader113 +0.484 +0.423

Which policies move them

Mean tone by topic, most negative first. Topics come from an LDA model fitted over debate contributions; the terms are the model's, the labels are hand-assigned.

TopicSpeechesMean valence
War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish 12 -0.129
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 47 +0.593

Departures from their own baseline

Contributions whose tone sits more than two standard deviations from this member's own average. Baselines are per member on purpose — an absolute threshold would just rank people by temperament.

2020-07-24 · An tOrd Gnó - Order of Business · z = -2.7 · Procedural and rhetorical filler (low-content)
I ask the Leader to arrange for the Minister for Justice and Equality to come into the House at her convenience, probably during the autumn session, to outline the Government's plans to deal with hate crime and the legislation, if any, that is envisaged. The m…

Full contribution →

2023-05-04 · An tOrd Gnó - Order of Business · z = -2.6 · War, Ukraine, Israel and human rights
Yesterday there were calls for a debate in the House on the Arab-Israeli conflict. I want to support those calls. It is time that we have a reasoned, logical discussion in the Chamber about the ongoing war between Palestine and Israel. It is fair to say that t…

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2020-07-31 · An tOrd Gnó - Order of Business · z = -2.6 · Procedural and rhetorical filler (low-content)
No side, either on the Opposition or the Government, has a monopoly on virtue. I never speak about the other House but I was absolutely shocked, as was the nation as a whole, by the shenanigans we witnessed on television last night. There is no gagging of demo…

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2023-10-18 · An tOrd Gnó - Order of Business · z = -2.6
I think the people of Ireland have had their eyes opened in the last ten days, following the savage, inhuman attack on Israel by Hamas. Hamas is a murderous bunch of terrorists.…

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2021-05-17 · An tOrd Gnó - Order of Business · z = -2.6 · War, Ukraine, Israel and human rights
Fools rush in where angels fear to tread. Some of these people are well meaning. Some of them are academics, others are journalists and politicians. They may very well want to be helpful. However, former EU ambassador to the United States, Mr. David O'Sullivan…

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2024-04-16 · An tOrd Gnó - Order of Business · z = -2.5 · War, Ukraine, Israel and human rights
I support Senator Dooley's call for a debate on recent developments in the Middle East in the context of the unprecedented attack by Iran against the State of Israel, which has been highly condemned all over the world. The fact that the onslaught did not resul…

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The whip, across the whole corpus

Alignment by the party a member sat for on the day, with 95% Wilson intervals. This is the test the measure could have failed.

PartyAligned95% CI n
PBP 82.5% 68–91% 40
LAB 78.2% 69–85% 101
IND 76.5% 72–81% 327
SF 75.8% 69–81% 198
SD 71.4% 58–82% 49
FG 69.1% 62–76% 162
FF 67.9% 60–75% 165
GP 56.8% 41–71% 37

Members of government parties align their stated position with their vote 9.4 points less often than Independents — bootstrap 95% CI [+2.7, +16.0], which excludes zero. Opposition parties sit 9.5 points above government too, CI [+3.1, +15.9]. Independents and opposition members are indistinguishable from each other (−0.0 points, CI [−6.3, +6.2]). So the gap does not come from having no party; it comes from being in government, which is what a whip effect should look like. Read this as the measure behaving sensibly, not as a finding about any individual.

How the scorer scores

Two automated methods were built and both failed. What survives is the rule-based layer, which is why the coverage above is narrow.

MethodAccuracy95% CI n
nli-vs-mover-anchor:deberta 35.9% 29–42% 234
nli-vs-mover-anchor:distilroberta 11.5% 8–16% 234

Zero-shot entailment was asked to judge contributions whose true position is known — the member moved the amendment, so the answer is support by construction — and got it right 11.5% of the time, returning "unclear" or "oppose" for nearly everything. A classifier trained on the rule-labelled cases over the corpus embeddings reached 71.1% against a 65.3% majority-class baseline: better than chance, not better enough. Both are excluded from every figure on this page. Only the rule-based cascade, which is exact where it fires and silent where it does not, is used.

Method

Position is read from the member's own contributions in the debate section the division belongs to, by a three-step cascade: an explicit move of the question ("I move amendment No. 5", true by construction); declarative stance phrases ordered so negations are tested first, because "I cannot support" and "I do not oppose" both defeat a naive keyword match; and, where neither fires, a zero-shot entailment model judging the contribution against the question put. Tone uses a separate model and is reported separately. Agreement against hand-labelled cases, with bootstrap intervals, is on the evidence page; no score here should be read without it.