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THE THERAPEUTIC USE OF PETS IN PRIVATE PRACTICE

2008· article· en· W1995952165 on OpenAlexaboutno aff
Anita Sacks

Bibliographic record

VenueBritish Journal of Psychotherapy · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCompanion animalPsychotherapistValue (mathematics)Private practiceObject (grammar)Clinical PracticeSocial psychologyPsychoanalysisMedicineNursing

Abstract

fetched live from OpenAlex

abstract The therapeutic use of pets has usually involved institutional visitation. Noting Freud's comments on the discovery of the profound connection between himself and his dogs, and recent research on the regulatory functioning sustained by a libidinal pair‐bond, this paper reports the therapeutic uses of the clinician's companion animal, a Labrador retriever, in a psychoanalytically oriented private practice. Patients were sitting up and seen once or twice a week. I argue that the containment of the treatment setting, attachment theory and a number of Winnicott's concepts – the good enough mother, the True and False Self, and the development of concern – are pertinent to an understanding of this approach to treatment, and that the right companion animal may contribute to the emergence of a True Self. The companion animal has the qualities of ‘devotion’, offers expressions of love and acceptance, tactile opportunity and responsiveness. I make a distinction between a ‘corrective object relationship’ and a ‘corrective emotional experience’, and take into account analytic debates about the ‘corrective emotional experience’. Through clinical vignettes I demonstrate the value of a trained companion animal as a psychotherapeutic addition in a private practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score0.274

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)0.0000.000

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 head0.039
GPT teacher head0.364
Teacher spread0.325 · 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 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

Citations14
Published2008
Admission routes1
Has abstractyes

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