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Time bound: The timescape of secondary trauma of the surviving teachers of the Wenchuan Earthquake.

2012· article· en· W2159762654 on OpenAlex
Di Long, Yuk‐Lin Renita Wong

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

VenueAmerican Journal of Orthopsychiatry · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsYork University
Fundersnot available
KeywordsSocial connectednessSocial capitalEthnographyPerspective (graphical)ChinaSociologyPsychologySocial psychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This article introduces a timescape perspective to enrich our understanding of postdisaster secondary trauma and social capital. Drawing upon a 2-year ethnographic study in 2008-2010 of a high school most devastated by the Wenchuan Earthquake in Sichuan, China, this article discusses how the national future-oriented timescape of recovery produced the secondary trauma among the surviving teachers. In particular, this article elucidates the pervasiveness of the industrial linear and mechanical calendar and clock time in the state and societal response. This article proposes that human connectedness-the key component of social capital crucial to the restoration of self and community efficacy in postdisaster recovery-requires a temporal frame that allows multiple levels and rhythms of grieving and reconnecting with existing social relations. This article also highlights the critical role of teachers in the collective healing of students and the community efficacy of the school.

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)0.002
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 score0.152
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.248
Teacher spread0.241 · 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