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Record W4416369426 · doi:10.63595/dfp.v1i2.12070

Cartas aos sobre-viventes: coletivo Traços da Escuta, Rio Grande<br>Lettres aux sur-vivants: collectif Traços de Escuta, Rio Grande

2020· article· W4416369426 on OpenAlexaff
Michel Peterson, Adriano Martins Alves, Gabriel de Vargas Pereira, J. Cantos, Maile Zanotta Ferreira, Renata Santos Cravo, Roberta Rodrigues Silveira

Bibliographic record

VenueDeslocamentos/Déplacements revista franco-brasileira interdisciplinar de psicanálise e ciências sociais · 2020
Typearticle
Language
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsContext (archaeology)Research methodologyDisenchantmentEthnography

Abstract

fetched live from OpenAlex

ResumoO seguinte conjunto de cartas foi produzido pelo grupo de psicólogos Traços de Escuta, que trabalha no Rio Grande, acompanhados por um orientador. Lida com os efeitos traumáticos da pandemia sobre os terapeutas e questiona a morte como ela se manifesta na clínica para cada membro do grupo, desde a transição da clínica na rua para a clínica online.RésuméL’ensemble de lettres qui suit a été produit par le groupe de psychologues Traços de Escuta, qui travaille à Rio Grande, accompagné d’un superviseur. Il traite des effets traumatiques de la pandémie sur les thérapeutes et pose la question de la mort telle qu’elle se manifeste dans la clinique pour chacun des membres du groupe depuis le passage de la clinique dans la rue à la clinique on-line.

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 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.004
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0040.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.003

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 head0.045
GPT teacher head0.349
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2020
Admission routes1
Has abstractyes

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