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Rhetoric and votes

Mairéad Farrell

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 4 scorable votes — below the 10 needed for an interval worth printing
100%
voted with their own party's majority · 1,031 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 cast1,046
… spoke in that debate section66
… vote tied to a specific question31
… position stated clearly enough to score4

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 1 0

Not scored: 35 where the vote could not be tied to a question, 0 where no clear position was stated in the debate.

Where the words and the vote diverge

Every case the pipeline flagged, with the contribution it read and the vote as recorded. Judge them yourself — that is the point of showing them rather than only the rate.

2021-12-02 · Houses of the Oireachtas Commission (Amendment) Bill 2021: Committee and Remaining Stages · Amendment put: · Lost

Read as oppose (cue, confidence 0.85) · voted TA · with their party

Unfortunately I was not in attendance at the discussion on this Bill on Tuesday. Although I wanted to be here, I was not able to attend. I welcome this discussion, which goes to the heart of everything we do and to the heart of fairness and equity. I want to agree with something that Deputy Nash said. I would imagine that most Deputies in this Chamber are in agreement with this amendment and agree that secretarial as…

Full contribution → · The division →

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
vader864 +0.131 +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
Irish-language contributions (sorted by language, not policy) agus · seo · leis · sin · atá · bhfuil 105 -0.291
Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did 13 -0.152
Children, families and young people children · women · young · child · family · families 16 -0.147
War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish 38 -0.132
Cost of living, tax and budget cost · tax · budget · energy · costs · increase 39 -0.050
Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable 55 -0.022
Party-political exchange (party names dominate) workers · rights · right · sinn · féin · irish 10 +0.169
Transport, Dublin and rural development local · transport · dublin · city · public · community 10 +0.204
Health services, HSE and disability health · services · care · service · hse · mental 11 +0.213
Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture 6 +0.220
Media, banking and State companies ireland · irish · media · industry · companies · post 10 +0.280
Education and schools school · education · schools · children · students · special 15 +0.299
EU and international relations ireland · european · irish · union · europe · countries 10 +0.411
Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance 20 +0.426
Departmental programmes and funding (diffuse) department · national · funding · new · important · programme 13 +0.465
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 56 +0.478
Legislation, courts and legal process act · legislation · shall · court · person · information 26 +0.646

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.