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Record W591270052

Listening on the edge : oral history in the aftermath of crisis

2014· book· en· W591270052 on OpenAlexaboutno aff
Mark Cave, Stephen Sloan

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOral historyHistoryRefugeeArt historyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Introduction: What Remains: Reflections on Crisis Oral History, Mark Cave Part I: Clamor 1. When All is Lost: Metanarrative in the Oral History of Survivor of Srebrenica, Selma Leydesdorff Oral history by Selma Leydesdorff with Hanifa, Refugee camp, East Bosnia, April 2004 2. To Dream My Family Tonight: Listening to Stories of Grief and Hope among Hazaras Refugees in Australia, Denise Phillips Oral histories by Denise Phillips with Reza and Juma, Brisbane and Melbourne, Australia, 2004-2011 3. Exhuming the Self: Trauma and Student Survivors of the Shootings at Virginia Tech, Tamara Kennelly and Susan E. Fleming-Cook Oral histories by Susan E. Fleming Cook with Yang Kim, Derek O'Dell, and Kristina Heeger-Anderson, Blacksburg, Virginia, 2009-2010 4. Talking Cure: Trauma, Narrative, and the Cuban Rafter Crisis, Elizabeth Campisi Oral histories by Elizabeth Campisi with Cuban Rafter Crisis survivors conducted in Miami, Florida, Lancaster, Pennsylvania, and Rochester, New York, 1998-2001 5. In the Ghost Forest: Listening to Tutsi Rescapes, Taylor Krauss Oral histories by Taylor Krauss with Rwandan Rescapes, Kigali, Rwanda, 2007-2008. 6. The Continuing and Unfinished Present: Oral History and Psychoanalysis in the Aftermath of Terror, Ghislaine Boulanger Part II: Resonance 7. Unlocked: Perspective and the New Orleans Prison Evacuation Crisis, Mark Cave Oral histories by Mark Cave with members of the Louisiana Department of Corrections, Angola, Pineville, and Keithville, Louisiana, March 23 and 24, June 17 and 18, 2009 8. Living Too in Murder City: Oral History as Alternative Perspective to the Drug War in Ciudad Juarez, Eric Meringer Oral histories by Eric Rodrigo Meringer with Juarez residents Jonathan, Rosa and Raul, Ciudad Juarez, Mexico, 2009-2010 9. Until Our Last Breath: Voices of Poisoned Workers in China, Karin Mak Oral histories by Karin Mak with Ren, Min, Fu, and Wu, Huizhou, Guangdong and rural Sichuan, China, August and September, 2007 10. Woven Together: Attachment to Place in the Aftermath of Disaster, Perspectives from Four Continents, Eleonora Rohland, Maike Bocker, Gitte Cullmann, Ingo Haltermann, Franz Mauelshagen Oral histories by Eleonora Rohland, Maike Bocker, Gitte Cullmann, and Ingo Haltermann with residents of New Orleans, Louisiana Accra, Ghana eastern Brandenburg, Germany and Chaiten, Chile, 2009-2010 11. Smile Through the Tears: Life, Art, and the Rwandan Genocide, Steven High Oral history by Jessica Silva with Rupert Bazambanza, Montreal, Canada, June 3 and 12 and July 6, 2008 12. A Spiritual War: Crises of Faith in Combat Chaplains from Iraq and Afghanistan, David Peters Interviews by David W. Peters with Christina, Michael, Timothy, Craig, and George, Walter Reed Army Medical Center, Washington, DC, 2011 13. A Long Song: Oral History in the Time of Emergency and After, Mary Marshall Clark Oral histories by Gerry Albarelli and Temma Kaplan with Mohammad Bilal-Mizra, Talat Hamdani, Zaheer Jaffery, Salman Jaffery, and Zohra Saed, New York City, October 2001 to June 2005 Conclusion: The Fabric of Crisis: Approaching the Heart of Oral History, Stephen Sloan Contributors Index

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)0.003
metaresearch head score (Gemma)0.007
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 score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0140.013
Scholarly communication0.0140.010
Open science0.0020.008
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0240.003

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 head0.055
GPT teacher head0.226
Teacher spread0.170 · 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

Citations41
Published2014
Admission routes1
Has abstractyes

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