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Collaborative Influence

2000· article· en· W4237703185 on OpenAlexaff
Tom Strong

Bibliographic record

VenueAustralian and New Zealand Journal of Family Therapy · 2000
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsDialogicNegotiationPerspective (graphical)Meaning (existential)PsychologyResistance (ecology)PsychotherapistPower (physics)Strict constructionismSociologyPublic relationsEpistemologyPedagogyPolitical scienceComputer scienceSocial science

Abstract

fetched live from OpenAlex

Collaborative therapists acknowledge their role in influencing clients and the outcomes of therapy. But the word ‘influence’, for many new to the collaborative therapies, can be mistakenly connoted as an undue exercise of therapist power. From a dialogic and social constructionist perspective, this article reflects on how therapists can be influential in collaborative ways. Negotiating ‘shared intentionalities’ with clients, while privileging their preferences in meaning‐making and change—as part of respecting their primary authorship over their lives—assists therapists to employ their influence in ways that stay collaborative. Furthermore, by regarding client ‘resistance’ and misunderstanding as instructive, therapists can enhance their efforts to stay collaborative.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
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)0.0010.000

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 head0.031
GPT teacher head0.321
Teacher spread0.290 · 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.

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

Citations12
Published2000
Admission routes1
Has abstractyes

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