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Record W7023414168

The Memory Mines

2016· dissertation· en· W7023414168 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2016
Typedissertation
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsSociety for the Study of Architecture in Canada
Fundersnot available
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDiafiltrationLiquationFusible alloyArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

She is eighteen when she leaves home. She leaves shortly after her father’s inexplicable disappearance – an event she neither understands nor accepts. She does what everyone on the cusp of adulthood does: she moves abroad to forget her past. Now, ten years later, her ageing mother is taken away. The family home is empty. The young woman returns. It is here, in her childhood home, she makes the deliberate decision to remember. \nEven after so many years, the house is the same. Here, her childhood memories still live, in the spaces between walls, in the cracks in the floor, in the weft of the brocade curtains. Stories are awakened with the turn of a brass handle, the swing of a glass door, the scent of sour yogurt. The memories surface of their own will, appearing suddenly, sometimes violently. She moves through the house, reliving each memory with startling lucidity. The line between her parents’ memories and her own begin to blur. She remembers things she never knew.

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)0.001
metaresearch head score (Gemma)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.013
Scholarly communication0.0070.008
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0400.012

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 head0.017
GPT teacher head0.244
Teacher spread0.228 · 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
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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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