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Record W2625058144 · doi:10.1075/ld.7.1.02coo

Analyzing online suicide prevention chats

2017· article· en· W2625058144 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

VenueLanguage and Dialogue · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsExorcismDistressContext (archaeology)SketchAction (physics)PortraitPsychologySocial psychologyComputer sciencePsychotherapistSociologyHistory

Abstract

fetched live from OpenAlex

Abstract In this article, we propose to mobilize a communicative constitutive approach to analyze sessions that took place in the context of online suicide prevention chats in France. By analyzing the detail of a specific excerpt, we propose, more precisely, to draw a portrait of various figures that appear to express themselves in what could be called online help in action (see also Bartesaghi, 2014 ). Beyond the various psychotherapeutic approaches that are supposed to inform what volunteers are saying and doing, our goal is to start with their practices to determine the figures that they implicitly or explicitly stage in their turns of talk to help out the callers. By analyzing the relational aspects of these conversations, we thus show that these sessions can be compared to a form of modern exorcism, where the callers’ distress, uneasiness or suffering is meant to pass in and through the conversations. It is the conditions of these passages that we are exploring, especially regarding the tensions that they generate.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.323
Teacher spread0.271 · 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