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Enregistrement W2181893118

Long Voter Lines in Prince George's County, 2004 and 2006 Elections

2006· article· en· W2181893118 sur OpenAlexaboutno aff
Rebecca Wilson

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineComputer Science
ThématiqueInternet Traffic Analysis and Secure E-voting
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeneral electionVotingSpoilt voteEveningBallotWork (physics)Political scienceLawComputer scienceGroup voting ticketPoliticsEngineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

My name is Rebecca Wilson and I live in Hyattsville, MD. I have served as an Election Judge and Chief Election Judge for 5 elections, including the General Election in 2004 and the General Election of 2006. The morning of the 2004 General Election produced 2-3 hour long lines. A huge number of voters tried to vote on their way to work. We had 3 of our 11 machines down when we opened and intermittent problems with 1 of them throughout the morning (the other 2 were paper jams on the zero tapes, which we were able to resolve). The backlog of voters didn't clear until about 11:00 am, so the people most affected were probably the ones who showed up between 7:30 and 8:30 am -- prime time for people en route to work. In the 2006 General Election, the thing that saved us from long lines for most of the day was the steady flow of people. But in the evening we had a big back-up of people after work. We locked the doors at 8pm and the last voter finished voting at 9:30 or 9:45, but the peak was probably about 6:30 - 7:30. We had 50 (if I remember correctly) Voter Access Cards, so we couldn't have more than a total of 50 voters actually at machines or in line at any time. We had a long line of people waiting to check in, but we couldn't check anyone in until a voter finished voting and returned the smart card. Once a voter checked in and had their card, they still had a fairly long wait for a machine to free up. Checking in using the E-pollbook takes about one minute. We had 2 E-pollbooks and 11touchscreen DREs that were taking voters as much as 45 minutes because the ballot was very long: The average time was probably from 15 to 25 minutes. There were 37 ballot items, including 19 election contests plus 4 state and 14 county ballot measures. The ratio of the number of DREs to the number of E-pollbooks was 5.5:1 whereas the ratio of the times for their use was more like 20:1. Thus the long lines were caused by the voting machines and not the E-pollbooks. I eased the situation as much as I could by going through the line and trying to weed out people who would have to vote provisionally, since there was no reason for them to wait in line. So anyone who had recently moved or wasn't sure if they were in the right polling place or had requested but not received an absentee ballot or whatever, I had the idle check-in judges look them up to see if they would need to vote provisionally. Those who did were able to get out of there much more quickly than those who were forced to wait in line for a machine.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,909
Score d'incertitude au seuil0,767

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,218
Écart entre enseignants0,212 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2006
Routes d'admission1
Résumé présentoui

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