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← Patricia Ryan

Rhetoric and votes

Patricia Ryan

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 · 648 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 cast662
… spoke in that debate section8
… vote tied to a specific question8
… position stated clearly enough to score0

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 4 0
Contradicted their words 0 0

Not scored: 0 where the vote could not be tied to a question, 4 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
vader394 +0.253 +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 18 -0.239
Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did 18 -0.149
Justice, policing and defence garda · defence · justice · violence · criminal · gardaí 19 -0.111
Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable 29 -0.046
Covid-19 and public health emergency covid · health · public · pandemic · measures · safety 13 +0.013
Health services, HSE and disability health · services · care · service · hse · mental 49 +0.159
Cost of living, tax and budget cost · tax · budget · energy · costs · increase 46 +0.172
Transport, Dublin and rural development local · transport · dublin · city · public · community 5 +0.226
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 12 +0.268
Children, families and young people children · women · young · child · family · families 21 +0.280
Party-political exchange (party names dominate) workers · rights · right · sinn · féin · irish 18 +0.293
Legislation, courts and legal process act · legislation · shall · court · person · information 26 +0.321
Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance 23 +0.322
Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture 17 +0.335
Education and schools school · education · schools · children · students · special 16 +0.474
Departmental programmes and funding (diffuse) department · national · funding · new · important · programme 10 +0.630
EU and international relations ireland · european · irish · union · europe · countries 5 +0.810
Media, banking and State companies ireland · irish · media · industry · companies · post 7 +0.891

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.

2023-07-13 · Situation in Israel and the Occupied Palestinian Territory: Statements · z = -2.0 · War, Ukraine, Israel and human rights
We are here again not to point fingers but to rally this House to action. The Minister of State has just heard one of his own Government Deputies speak on this. The plight of the oppressed in the occupied Palestinian territory is much worse than it was when la…

Full contribution →

2022-02-08 · Dignity and Equality Issues in the Defence Forces: Motion [Private Members] · z = -2.0 · Justice, policing and defence
I begin by commending the Women of Honour on their bravery, courage and commitment in sharing their experiences in the public arena to bring about change. Unfortunately, the allegations, while shocking, were no surprise to me. I had read reports on the work do…

Full contribution →

2023-11-21 · Health Service Recruitment Freeze: Motion [Private Members] · z = -2.0 · Health services, HSE and disability
The Government's mismanagement of the health budget is no secret but mismanagement on a scale that forces the CEO of the HSE to escalate the embargo on recruitment, withdraw job offers and scrap more than 7,000 essential front-line posts is beyond belief. This…

Full contribution →

2022-04-06 · Post-European Council Meeting: Statements · z = -2.0 · War, Ukraine, Israel and human rights
I have read the 11 pages of conclusions following the recent European Council meeting and I have less than two minutes so I will just pick out a couple of points. It is clear from the meeting that the EU recognises that we have a cost-of-living crisis and that…

Full contribution →

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.