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Record W4378376001 · doi:10.1080/20403313.2023.2214485

Teamwork through time: collective intentions in the voting process

2023· article· en· W4378376001 on OpenAlexaff
Sylvia Rich

Bibliographic record

VenueJurisprudence · 2023
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRatificationVotingDemocracyPolitical scienceCorporationTeamworkGroup (periodic table)Disapproval votingSocial psychologyLaw and economicsBusinessPublic relationsEconomicsPsychologyLawPolitics

Abstract

fetched live from OpenAlex

Voting is a collective activity: it requires more than one person to win a vote. In a corporation, voting allows the winning idea to become an intention of the corporate group once the vote is concluded. In this paper, argue that unlike in corporate boards, in a democratic election, the voting process does not create a group intention. The difference between the two processes is an oft-overlooked moment directly after the corporate vote in which members on the losing side ratify the decision of the group and move on with the group into the future. In state elections, because of the high cost of renouncing membership, there is typically no ratification moment. While different groups do have collective intentions prior to an electoral vote, the vote itself does not manifest the intention of a group agent such as ‘the People.’ This conclusion has implications for minority rights.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.288
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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