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Record W2092012400 · doi:10.1177/0270467608320223

Rewriting My Autobiography

2008· article· en· W2092012400 on OpenAlexaff
Cynthia R. A. Aoki

Bibliographic record

VenueBulletin of Science Technology & Society · 2008
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAutonomyRecallRewritingIdentity (music)PsychologyMechanism (biology)False memoryPsychotherapistComputer sciencePolitical scienceCognitive psychologyEpistemologyLawAesthetics

Abstract

fetched live from OpenAlex

The formation and recall of memories are fundamental aspects of life and help preserve the complex collection of experiences that provide us with a sense of identity and autonomy. Scientists have recently started to investigate pharmacological agents that inhibit or “dampen” the strength of memory formation and recall. The development of these memory-dampening agents has been investigated for the treatment of posttraumatic stress disorder (PTSD). Currently, these agents are being tested in multicenter clinical trials and will likely soon be approved for the treatment of PTSD. With advancements in technology, more targeted memory-dampening techniques may be developed in the future. Accessibility to these agents will inevitably affect one's sense of identity and also one's sense of autonomy. Therefore, it is essential that the legal and ethical implications of using these agents be examined for governments and courts to appropriately address issues that may emerge.

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)0.000
metaresearch head score (Gemma)0.006
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 score0.047
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0470.022

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 head0.044
GPT teacher head0.341
Teacher spread0.297 · 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".

Quick stats

Citations5
Published2008
Admission routes1
Has abstractyes

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Same venueBulletin of Science Technology & SocietySame topicPosttraumatic Stress Disorder ResearchFrench-language works237,207