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Record W4411863769 · doi:10.1177/00221678251350172

Love, Grief, and the Therapeutic Relationship: An Essay

2025· article· en· W4411863769 on OpenAlexaff
Elizabeth Mitchell

Bibliographic record

VenueJournal of Humanistic Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsGriefPsychologyPsychoanalysisPsychotherapistTherapeutic relationshipEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This essay explores the development of mutual and platonic love between a client and therapist. The author, a psychotherapist herself, provides a first-hand account of her experiences as a client in long-term relational psychotherapy, including reflection upon her grief regarding the relationship’s abrupt ending due to her therapist’s cancer diagnosis. Drawing upon Martin Buber’s concept of the I-Thou Relationship , as well as contemporary research surrounding the vital role of the therapeutic alliance in psychotherapy, this paper encourages therapists to fully consider the tensions that exist between the contractual versus human aspects of psychotherapy practice while embracing the inevitably relational nature of the work. To acknowledge love for one’s clients is complex and fraught with ethical and professional risks, and to fully attune to our clients’ love for us may be uncomfortable; however, as this essay suggests, there are also profound risks in dismissing, minimizing, or pathologizing these feelings. While remaining committed to necessary professional standards and boundaries, this author’s experience suggests that full recognition of the mutual love that may develop between client and therapist embodies a relational and feminist ethos to practice, may enhance therapy’s outcomes, and importantly, emphasizes the common humanity shared between both parties.

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)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.038
GPT teacher head0.418
Teacher spread0.380 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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