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Record W2054223592 · doi:10.1177/004931032002003

Trust and the Problem of National Reconciliation

2002· article· en· W2054223592 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

VenuePhilosophy of the Social Sciences · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsCLARITYIndividualismCommissionEpistemologySociologyCentralityConceptual frameworkGovernment (linguistics)Political scienceSocial psychologyLawSocial sciencePsychologyPhilosophy

Abstract

fetched live from OpenAlex

The authors propose a conception of national reconciliation based on the building or rebuilding of trust between parties alienated by conflict. It is by no means obvious what reconciliation between large groups of people amounts to in practice or how it should be understood in theory. Lack of conceptual clarity can be illustrated with particular reference to postapartheid South Africa, where reconciliation between whites and blacks was a major goal of the Mandela government and the Truth and Reconciliation Commission. The authors argue that a conception of reconciliation in terms of trust offers a promising solution to prominent conceptual confusions surrounding the notion of “national reconciliation” or reconciliation between large groups. By emphasizing the centrality of contextually variable trust in viable relationships, the authors accommodate an emphasis on human relationships and attitudes, as stressed by Desmond Tutu. They argue, however, against any simplistic application of purely individualistic or spiritual concepts to large groups and institutional contexts.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
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 head0.065
GPT teacher head0.313
Teacher spread0.249 · 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