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Record W6940449113 · doi:10.6093/2035-8504/9790

Citizenship, Solidarity, and the Common Good

2023· article· en· W6940449113 on OpenAlexaff

Bibliographic record

VenueUniversità degli Studi di Napoli Federico II · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsDemocracyUniversalismSolidarityPoliticsHatredCitizenshipLiberalismCommon good

Abstract

fetched live from OpenAlex

Despite the liberal democratic insistence on citizenship and solidarity, we see a sharp rise in divisive politics, aggressive posturing, and social and political fragmentation in many countries. Moreover, it has been argued that the commitments regarding social solidarity in democratic states have either not fully materialized or have been replaced by “mutual hatred and resentment” (Mishra 2017, 14) in the general populace. Addressing the above challenges necessitates a fresh reflection on democratic priorities and principles. A meaningful realization of liberal democratic citizenship and solidarity, I contend, requires an agile notion of the common good, encouraging citizens to come together in the pursuit of their collective goals and projects, making necessary accommodations for the welfare of not only their compatriots but also noncitizens, immigrants and marginalized individuals who inhabit the same social and cultural space. To the above end, I draw upon liberal universalism and egalitarianism, emphasizing the principles of equality and human dignity, to show that any formulation of the common good must be consistent with well-known democratic ideals. Accordingly, I suggest that the social and cultural commitments of democratic citizens should be reimagined to adjust to liberal values of citizenship, solidarity, and the common good.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.213
Teacher spread0.197 · 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.

Study designNot applicable
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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