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← Emer Higgins

Rhetoric and votes

Emer Higgins

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 1 scorable vote — below the 10 needed for an interval worth printing
100%
voted with their own party's majority · 1,400 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 cast1,406
… spoke in that debate section38
… vote tied to a specific question16
… position stated clearly enough to score1

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 1 0
Contradicted their words 0 0

Not scored: 22 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
vader733 +0.647 +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 17 -0.042
War, Ukraine, Israel and human rights international · ireland · ukraine · israel · war · irish 13 +0.332
Health scandals, inquiries and bereaved families hospital · families · family · cancer · children · did 11 +0.469
Climate, agriculture, energy and water water · climate · farmers · energy · food · agriculture 9 +0.498
Children, families and young people children · women · young · child · family · families 51 +0.526
Covid-19 and public health emergency covid · health · public · pandemic · measures · safety 27 +0.657
Party-political exchange (party names dominate) workers · rights · right · sinn · féin · irish 17 +0.657
Housing, rent and homelessness housing · homes · local · accommodation · rent · affordable 22 +0.660
Local government, roads and regional funding county · cork · discuss · west · road · local 7 +0.706
Education and schools school · education · schools · children · students · special 41 +0.729
EU and international relations ireland · european · irish · union · europe · countries 10 +0.739
Health services, HSE and disability health · services · care · service · hse · mental 40 +0.789
Legislation, courts and legal process act · legislation · shall · court · person · information 39 +0.790
Transport, Dublin and rural development local · transport · dublin · city · public · community 22 +0.821
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 31 +0.865
Cost of living, tax and budget cost · tax · budget · energy · costs · increase 13 +0.875
Employment, welfare schemes and business supports scheme · businesses · payment · sector · employment · insurance 21 +0.876
Departmental programmes and funding (diffuse) department · national · funding · new · important · programme 124 +0.879
Media, banking and State companies ireland · irish · media · industry · companies · post 5 +0.883

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.

2021-09-30 · Ceisteanna ar Reachtaíocht a Gealladh - Questions on Promised Legislation · z = -3.4
Over the last couple of months, we have become all too familiar with scam telephone calls and text messages. This week, the Central Statistics Office, CSO, published data which showed a 40% increase in fraud by comparison with this time last year. This month a…

Full contribution →

2022-03-09 · Council Decision on Hate Speech and Hate Crime: Motion · z = -3.4 · Justice, policing and defence
I welcome this initiative to include hate speech and hate crime in the Treaty of the Functioning of the European Union. I fully support Ireland's approval of the initiative to extend the list of EU crimes. In Ireland, hate crimes are on the rise. Hate crimes a…

Full contribution →

2022-01-19 · Violence Against Women: Statements · z = -3.4 · Children, families and young people
The events of the past week have had a profound impact on our country. I would like to take this opportunity to express my sincere condolences to Ashling's family and to her boyfriend, friends, colleagues and all who knew and loved her. I hope that they take s…

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2021-05-26 · Employment Rights · z = -3.4 · Children, families and young people
All of us know women who have suffered miscarriages or couples who have gone through a miscarriage. If people do not believe they do, it is because those women and couples have not shared that experience with them, which is okay. That is why so many couples wa…

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2023-12-13 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -3.3
Now that we are well on our way to 2024, I cannot help but think of the families in my area who are still struggling to get a public health nurse appointment. Babies in areas such as Lucan, Newcastle and Rathcoole may be showing signs of early developmental de…

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2022-04-06 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -3.3
Almost one in five people in this country own cryptocurrency and interest in crypto assets, especially among young people, is on the rise but, unfortunately, so too is investment fraud. Almost €12.5 million was lost to investment fraud last year. Last month, t…

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2023-11-15 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -3.3
This morning we all woke to the horrific news that Israeli soldiers had stormed Al-Shifa Hospital in Gaza. Images of death, destruction and dying babies haunt us all. What Israel is doing is barbaric, inhumane and criminal. I have spent time in Palestine and I…

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2024-01-18 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -3.3
We all watch in absolute horror as the horrific scenes from Gaza get more and more devastating. More than 23,000 people in Gaza have been killed since the Hamas attack, 70% of whom were women and children. Yesterday, I convened a meeting with my Fine Gael coll…

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2020-05-13 · Covid-19 (Transport): Statements · z = -3.3 · Covid-19 and public health emergency
The public's response to this crisis has been impressive and because of that we are making progress. However, that progress is fragile, and a very real threat is posed at our ports. As the Minister said, one in three Dublin Airport passengers refused to fill o…

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2021-05-20 · Situation in Occupied Palestinian Territory and Israel: Statements · z = -3.3 · War, Ukraine, Israel and human rights
I wish to begin by condemning the violence in Palestine and Israel. I have stood in the West Bank and in places like Jerusalem, Bethlehem and Ramallah. I have crossed the border at Kulandia and gone through the checkpoint alone in the darkness of night. I stoo…

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2021-11-25 · Medical Aids and Appliances · z = -3.3
I would like to ask the Minister about her Department's plans to introduce support for people who experience hair loss due to alopecia, illness or cancer treatment. Hair loss can be an extremely traumatic side-effect of illness or treatment and I would welcome…

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2022-03-02 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -3.2
This week marks national eating disorders awareness week. I raise with the Taoiseach the damaging impact social media is having on the self-esteem and mental health of our young people, in particular when it comes to eating disorders. Only a few months ago, th…

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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.