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Record W4387270413 · doi:10.1080/24720038.2023.2199787

Practicing in a time of covid loss and threat: Parallel processes on the yellow brick road of trauma, healing, trust and belonging

2023· article· en· W4387270413 on OpenAlex

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

VenuePsychoanalysis Self and Context · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsParallelsContext (archaeology)SecrecyConfidentialityIdentity (music)SociologyPsychoanalytic theoryNegotiationPsychoanalysisPsychologyInternet privacyLawHistoryAestheticsPolitical scienceArtComputer scienceEngineering

Abstract

fetched live from OpenAlex

We are always practicing in a time of threat and loss, but what changes is the nature of the threat and the loss: is it shared or not shared, known, or not known, disclosed by force or disclosed by choice? This paper explores the themes of trust and belonging as the essence of the psychoanalytic frame and the parallel processes of how our own traumas, as psychoanalysts, warp and weave through our relationships with our patients over time. The pandemic has gifted us with a perfect storm of shared traumas and created new opportunities for navigating, negotiating, rupturing and repairing, and healing, as the frame was forcefully bent, broken, and rebuilt in the context of this global crisis. The pandemic has emphasized the importance of lifting the veil of secrecy and bringing those of us who live these complex lives of service, as both healers and suffering strangers, into community and dialogue. To illustrate these themes, this paper explores the parallels between “Jennifer” my patient of 14 years and my own journey through life and analysis.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.330
Teacher spread0.304 · 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