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Record W2503602292 · doi:10.1177/194277861000300301

A Sorry State: Apology Excepted

2010· article· en· W2503602292 on OpenAlexaff
Marv Waterstone, Sarah de Leeuw

Bibliographic record

VenueHuman Geography · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsLegitimacyHegemonyCoercion (linguistics)State (computer science)Power (physics)Corporate governanceLaw and economicsPolitical scienceBoundary (topology)Political economyLawSociologyBusinessPoliticsComputer science

Abstract

fetched live from OpenAlex

Hegemony is a preferred mode of governance. Because it relies more heavily on consent than on coercion, it tends to produce a more willing, and less resistant, citizenry. By its nature, hegemony depends crucially upon a widely shared, common-sensical view that elites are acting in the interests of those being governed, and this common sense underpins the legitimacy and authority of those in power. Failure to maintain such legitimacy can produce moments of severe crisis in governance, and such threats must be avoided or ameliorated. Typically, this kind of boundary work takes place “behind the scenes.” There are moments, however, when these efforts at state maintenance become visible, and might be investigated to reveal mechanisms that could be turned to progressive ends. We contend that official, state apologies offer one such avenue for investigation, and we offer our substantiation for this claim in the paper below.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.023
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.010
GPT teacher head0.304
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations14
Published2010
Admission routes1
Has abstractyes

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