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Record W4402405638 · doi:10.4324/9781003242673-18

Recognizing and Following Markers of Emotion on the EFT Terrain

2024· book-chapter· en· W4402405638 on OpenAlexaboutno aff
Lorrie L. Brubacher

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicEmotion and Mood Recognition
Canadian institutionsnot available
Fundersnot available
KeywordsTerrainPsychologyComputer scienceGeographyCartography

Abstract

fetched live from OpenAlex

EFT therapists help clients to integrate and consolidate their changes in Stage 3, and this chapter and the following two chapters help the reader to integrate and consolidate what it means to be an EFT process consultant dancing the EFT Tango in attunement with clients. Using the metaphor of Inuit human-shaped stone sculptural markers, called inukshuks or inuksuit, that guide travelers across the vast arctic landscape, this chapter reviews signposts or micro-markers of clients’ cultural and emotional experience, to help therapists detect and follow subtle signals of emotion and culture across the EFT terrain and to increase the emerging depths of emotional experiencing. The chapter ends with a brief discussion of an EFT therapist’s felt-sense understanding. Felt-sensing – feeling another’s experience in one’s own body as much as possible – is the link between scientific knowledge and creative competency. In EFT, emotional experiencing and racial-ethnic-cultural (REC) experience coalesce with therapist intuitive felt-sensing and therapeutic artistry. The supplementary materials online resources include expanded details on how therapist’s deliberate felt-sensing can enhance therapy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.516
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.292
Teacher spread0.248 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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