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Record W4327599119 · doi:10.1177/09593543231159077

Theory as behaviour: Why empathy research needs horizontal, mutualistic habits of seeing

2023· article· en· W4327599119 on OpenAlexaff
Christa M. Avram

Bibliographic record

VenueTheory & Psychology · 2023
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsEmpathyDualismHabitContext (archaeology)PsychologyAction (physics)EpistemologySocial psychologyCognitive psychologyCognitive sciencePhilosophy

Abstract

fetched live from OpenAlex

I propose that theory, typically understood as a mere intellectual position, is also a habit of seeing (in the Deweyan sense). It is a form of behaviour organized through person–environment collaboration that reshapes both person and environment, facilitating and constraining subsequent potentials for action. I discuss two of psychology’s habits of seeing and their effect upon empathy research: (a) the vertical worldview, a habit of searching for reality at higher or lower levels, which neglects the empathizer’s context and (b) dualism, a habit of treating organisms as distinct from environments, which creates the problem of other minds. I present two alternative habits of seeing: (a) van Dijk and Withagen’s horizontal worldview, which looks outward to empathizers’ contexts and (b) organism–environment mutuality, which approaches organisms and environments as processes rather than entities. These latter habits, I conclude, better afford psychologists the possibility of addressing the practical problem of nonempathetic behaviour.

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)0.018
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.054
Scholarly communication0.0070.021
Open science0.0030.007
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0030.001

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 head0.132
GPT teacher head0.425
Teacher spread0.293 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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