MétaCan
Menu
Back to cohort
Record W4384704817 · doi:10.7202/1099775ar

La psychanalyse nomade : la COVID-19 et le cadre analytique à distance

2023· article· fr· W4384704817 on OpenAlexvenueno aff
Martin Gauthier

Bibliographic record

VenueFiligrane Écoutes psychothérapiques · 2023
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyCoronavirus disease 2019 (COVID-19)Medicine

Abstract

fetched live from OpenAlex

La pandémie de COVID-19 a été un ébranlement narcissique qui a révélé la face cachée du moi, de même que celle du cadre analytique. Le passage à un cadre de travail à distance a ouvert un laboratoire qui permet d’interroger non seulement les conséquences, mais aussi les fondements de tout cadre analytique. Avec Bleger et Donnet, l’enjeu des processus ouvre une perspective permettant d’appréhender le cadre quant à son action sur le travail de symbolisation. Les effets du cadre à distance sur les phénomènes cliniques gagnent ainsi à être articulés avec le cadre symbolique interne de chaque patient.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.020
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.049
GPT teacher head0.419
Teacher spread0.370 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueFiligrane Écoutes psychothérapiquesSame topicPsychoanalysis and Psychopathology ResearchFrench-language works237,207