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Record W6987125825

Sanctuary in pieces two centuries of flight, fugitivity, and resistance in a North American city

2024· article· en· W6987125825 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsnot available
Fundersnot available
KeywordsResistance (ecology)PoliticsSilenceCompassionLootingPublic historyHospitality
DOInot available

Abstract

fetched live from OpenAlex

"Over the past two decades, the Sanctuary City movement has resulted in hundreds of jurisdictions declaring themselves safe spaces for undocumented migrants and people without status. Although they often draw on historical precedent, public sanctuary efforts amongst settler societies in the present are markedly different from how refuge was conceptualized in the past. To explore these broad shifts, Sanctuary in Pieces looks at the history of protection and hospitality in Montreal/Mooniyaang/Tiohtià:ke over two hundred years. Laura Madokoro traces the movements and experiences of fugitive slaves, wanted criminals, internationally renowned anarchists, and war resisters before turning to instances of public sanctuary practices since the 1970s. As people sought and forged refuge, they navigated a web of social connections, political agendas, and economic realities, testing the notion of the city and whom it was for. Even as those in search of sanctuary imagined, and often enacted, possible futures in the city, sanctuary was far from easy: it lay in an underground marked by refusal and denial, selective compassion and solidarity, and sometimes outright animosity. This contested and tumultuous history offers a profound challenge to the symbolism and substance of contemporary sanctuary city efforts. Conceptually innovative, Sanctuary in Pieces speaks to activist and policy considerations in the present, the making and unmaking of community, and how historical practice can accommodate silence in studies of intimate experiences of mobility and, on occasion, refuge."--

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.981

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.316
Teacher spread0.301 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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