Afterword: Reflections on the Course “Student Voting: Power, Politics, and Race in the Fight for American Democracy”
Notice bibliographique
Résumé
In 1976, as a 12-year old, I volunteered on the congressional campaign of Illinois congressman Abner Mikva, knocking on doors and tracking voters as a part of 'get out the vote' efforts.Mikva won in what was an incredibly tight race: he was declared the winner two weeks after the election by a mere 201 votes.His victory was affirmed a year and a half later when the Illinois Supreme Court rejected a "Petition for Recount" by his opponent, Samuel Young, who had alleged errors, irregularities, and fraud.One of the keys to Mikva's success was the strong support of college students.His election was just five years after the 26th Amendment lowered the voting age to 18. Indeed, Mikva, who was a strong advocate of the 26th Amendment, strategically cultivated the college vote and relied heavily on student voters from Northwestern University and the absentee ballots of college students studying out of district to carry him to victory.I spent much of the subsequent 20-plus years abroad, studying in Canada and the United Kingdom, doing research in the Soviet Union, and working in Ukraine, the Czech Republic, and Hungary after 'people power' had torn down the Berlin Wall.In Central and Eastern Europe, I was part of a cadre of idealistic young Americans aspiring to forge a world that respected human rights, abided by the rule of law, and recognized the will of the people as expressed in free and fair elections.I witnessed some amazing things in my time abroad, including Russia's first competitive elections in 1989, where turnout was nearly 90 %.I returned to the United States where I began to work at Bard College.With the 1998 mid-term elections approaching, Bard's director of student activities, Allen Josey explained to me that the Dutchess County Board of Elections (BOE) did not allow Bard students to vote locally.This did not immediately resonate with me: I had lived abroad since I was 17 and had only voted absentee.Then I met with student organizers who were determined to fight for their right to vote locally.Many were passionate about their place in the community, volunteering for local organizations and identifying the Hudson Valley as home.Some literally had nowhere else to vote because they were born nearby or because
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,017 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,009 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,003 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».