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Record W4312531718 · doi:10.1017/s0892679422000491

Solidarity in Place? Hope and Despair in Postpandemic Membership

2022· article· en· W4312531718 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEthics & International Affairs · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSolidarityDemocracyCitizenshipInequalitySociologySocial stratificationNarrativePolitical economyPolitical sciencePandemicCoronavirus disease 2019 (COVID-19)Law

Abstract

fetched live from OpenAlex

Abstract Initially portrayed as the “great equalizer,” the COVID-19 pandemic has proved anything but. This essay recounts the sobering social disparities and vulnerabilities that the pandemic has exposed, especially when it comes to the inequalities that are baked into existing membership regimes, before turning to narratives of hope and democratic renewal. My discussion shines a spotlight on the relationship between borders, (im)mobility, and struggles for recognition and inclusion that have long been central to the practice of citizenship. Focusing on pathways to the acquisition of full membership status for those who are currently denied it, I will deploy logics and policies that have already begun to take shape in different parts of the world, with the goal of amplifying their effects and multiplying their scale. I identify three possible trajectories for postpandemic recovery, two of which offer ways to enhance equality of status and public standing by enlarging the circle of membership: first, through contribution (or what I will term “ jus contribuere ”), and second, by highlighting what we might call “solidarity in place.” The third reaction, which we might call the “stratification of membership,” pulls in the opposite direction by sharply redrawing the lines—legal, economic, social—that have distinguished insiders from outsiders, and exacerbated patterns of stratification and inequality of status and opportunity that predate the pandemic.

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.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.173
GPT teacher head0.496
Teacher spread0.323 · 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