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Letters from the Lost: A Memoir of Discovery

2010· book· en· W4367338249 on OpenAlexaboutno aff
Helen Waldstein Wilkes

Bibliographic record

VenueAthabasca University Press eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirHistoryArt history

Abstract

fetched live from OpenAlex

Moving, searing, wrenching, inspiring-the adjectives that can apply to many memoirs of the Holocaust and the feelings they evoke certainly apply as well to Letters from the Lost.Each personal odyssey is individual, though, and this narrative is distinguished by the individuality of Helen Waldstein Wilkes' story and the insightful clarity with which she tells it.As she searches for her own history and for the family members who perished after she and her parents escaped Nazi-occupied Czechoslovakia, Wilkes' difficult return to that past illuminates the terrain of suppressed memory, as well as its costs."Memories of our history hold us together as individuals," Wilkes writes, "as families and as communities.When we forget who we have been, we remain unaware of who we are."(p.vii) For some four decades Wilkes guarded but did not open the box of letters that held fragments and maps of her history.Not until she was past sixty was she ready to begin that journey of recovery.This memoir is the legacy of her search.I read these pages as a historian, intrigued by the process of recovering lost memories and historical erasures, and as a Jew, familiar, in much-diluted form, with the process of self-protective selective forgetting.I was born shortly after World War II, nine months after my Dad was mustered out of the U.S. Army.As a child I learned that the Holocaust had happened, but also, my parents insisted, that it had not really touched our family.This childhood fiction was not an uncommon story for Jewish children born in post-war North America.Even for families like my own, who lost no immediate kin, it was rarely true.My father's family had emigrated to Canada and the United States by 1913; my mother's grandparents arrived even earlier.My great-grandfather fled the czar's army, not Hitler's.But ours was a large, extended family.Numerous cousins remained in Europe, and we may never know how many of them perished.Over three decades after the War ended, my Dad discovered a first cousin he had never known existed, living in Jerusalem, who had somehow survived, hiding in Prague throughout the war.My story is not unusual.Nor is my parents' denial, or perhaps their attempt to shelter their children from a too-painful and too-recent past.The post-war years have, for the survivors, brought the gradual process of remembering, of painful reconstruction, and the inevitable questions about what might have been.This work of memory has generated a dense and varied literature of Holocaust memoirs: by survivors I , by child survivors II , by the children of survivors III And there is a growing literature of reclamation, of the search for lost family members rarely mentioned, and then cryptically, or in whispers, those who might have been forgotten in time, to protect the next generations from painful memories.Daniel Mendelsohn opened The Lost: A Search for Six of Six Million with his childhood experience walking into rooms only to watch elderly relatives burst into tears at the very sight of him, as they remembered the great-uncle he resembled.When they spoke of the family they had lost, they switched to Yiddish, to protect the children.IV Each person's journey into these suppressed pasts has been at once shared and intensely personal, as individual as each life taken, each story lost.Letters from the Lost impressively combines honest self-revelation, moral clarity, and compassion.It is unusual among survivors' memoirs because Wilkes' journey is almost without historical parallel.Born in [viii] letters from the lost complex promise, nations-like individuals who have survived deep trauma-require the courage to face their pasts.This book is one beginning.

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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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0260.017
Scholarly communication0.0130.010
Open science0.0020.006
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0110.004

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 head0.014
GPT teacher head0.214
Teacher spread0.200 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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