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← Annie Hoey

Rhetoric and votes

Annie Hoey

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 · 274 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 cast274
… spoke in that debate section88
… vote tied to a specific question27
… 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 4 0
Contradicted their words 0 0

Not scored: 61 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
vader310 +0.318 +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
Justice, policing and defence garda · defence · justice · violence · criminal · gardaí 10 -0.675
War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish 9 -0.105
Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did 11 +0.075
Children, families and young people children · women · young · child · family · families 38 +0.155
Health services, HSE and disability health · services · care · service · hse · mental 23 +0.261
Party-political exchange (party names dominate) workers · rights · right · sinn · féin · irish 26 +0.271
Legislation, courts and legal process act · legislation · shall · court · person · information 14 +0.305
Covid-19 and public health emergency covid · health · public · pandemic · measures · safety 9 +0.361
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 105 +0.410
Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture 9 +0.442
Media, banking and State companies ireland · irish · media · industry · companies · post 5 +0.459
Transport, Dublin and rural development local · transport · dublin · city · public · community 8 +0.584
Education and schools school · education · schools · children · students · special 26 +0.585
Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance 6 +0.627
Departmental programmes and funding (diffuse) department · national · funding · new · important · programme 5 +0.817

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.

2022-04-07 · An tOrd Gnó - Order of Business · z = -2.2 · Party-political exchange (party names dominate)
I would like to address the frightening rise in transphobia, trans hate and trans abuse that has swept over from the UK. This week, which had Trans Day of Visibility, the Tory Government moved to ban conversion therapy for so-called members of the LGB communit…

Full contribution →

2022-04-06 · An tOrd Gnó - Order of Business · z = -2.2 · Justice, policing and defence
I also compliment the Cathaoirleach and the Ceann Comhairle on this morning's joint sitting and on their statements in particular. April is sexual assault awareness month. As we know, rape and sexual assault are considered war crimes and breaches of internatio…

Full contribution →

2020-11-24 · Combating Domestic, Sexual and Gender-Based Violence: Statements · z = -2.2 · Justice, policing and defence
Domestic violence does not just happen as physical violence behind closed doors. It also happens on mobile phones, family laptops and iPads. It can be image-based, financial, verbal or in a closed WhatsApp group. As our means of communication change and as our…

Full contribution →

2024-02-08 · An tOrd Gnó - Order of Business · z = -2.2 · Justice, policing and defence
Following on some of the themes that have been mentioned, and it has been discussed a couple of times, it is time we start calling these arson attacks what they are, namely, terrorist attacks. I do not think I am being OTT when I use this term. We have done so…

Full contribution →

2024-04-30 · An tOrd Gnó - Order of Business · z = -2.2 · Procedural and rhetorical filler (low-content)
When coming here today, I was reflecting on a quote from James Larkin of 110 years ago, "Intolerance has been the curse of our country." Looking at some of the things that have happened over the past couple of weeks, it is unfortunate that 110 years after one …

Full contribution →

2022-09-28 · Assisted Decision-Making (Capacity) (Amendment) Bill 2022: Committee Stage · z = -2.2 · Legislation, courts and legal process
I echo Senator Black's words of gratitude to some of the people we have been working, particularly members of Mental Health Reform and some others who have been good and have done as much work as the Department has done on this legislation. They have been cast…

Full contribution →

2023-04-19 · An tOrd Gnó - Order of Business · z = -2.2 · Children, families and young people
I will read into the record a survey on sexual violence carried out by the Central Statistics Office, CSO, which came out today. There is coverage of it this morning which states that four in ten adults have experienced sexual violence in their lifetime. The r…

Full contribution →

2022-01-27 · Violence Against Women: Statements · z = -2.2 · Children, families and young people
It is always difficult when you have to stand up and follow someone who has shared their experiences. I have been that person who shared my own experience here. I know how very difficult it is to stand up and talk about those things. They really, truly do not …

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2023-02-28 · An tOrd Gnó (Atógáil) - Order of Business (Resumed) · z = -2.1 · Procedural and rhetorical filler (low-content)
I will take a moment to reflect on what I will call a conversation, but I am not sure that is what it was. The conversation took place on a show on TV last night around the trans community. It is a replica of a conversation we keep seeing again and again. When…

Full contribution →

2023-07-13 · An tOrd Gnó - Order of Business · z = -2.1 · Climate, agriculture, energy and water
I thank all the staff in the Seanad and across the Houses. I hope everyone has a restful summer break. I want to briefly bring up the documentary that was shown on RTÉ about dairy farming about which there has been much discussion. It did not just cover dairy …

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2024-06-19 · National Cancer Services: Motion · z = -2.1 · Health scandals, inquiries and bereaved families
I thank the Fine Gael Senators for introducing this motion into the Seanad Chamber. In particular, I welcome Ms Power and others from the Irish Cancer Society who are here in recognition of the enormous work they do and the contribution they make. I could say …

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2022-01-25 · An tOrd Gnó - Order of Business · z = -2.1 · EU and international relations
I raise the very pressing and worrying issue of Russia's plans to conduct a military exercise in waters off the Irish coast next month. The area is about 130 nautical miles off the coast of Cork and is firmly within Ireland's exclusive economic zone. We can al…

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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.