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Record W2325944825 · doi:10.1177/103841620101000205

New Visions for Counselling in the 21st Century

2001· article· en· W2325944825 on OpenAlexaff
R. Vance Peavy

Bibliographic record

VenueAustralian Journal of Career Development · 2001
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVisionAmbiguityScope (computer science)Perspective (graphical)Context (archaeology)Engineering ethicsPsychologyPublic relationsSociologyPolitical scienceEngineeringComputer scienceHistory

Abstract

fetched live from OpenAlex

This article provides a comment on the 21st century post-industrial context for counselling. It offers a sociodynamic perspective and describes examples of cultural tools that the sociodynamic counsellor uses to render counselling more sensible. In this paper it is argued that we are entering a new era marked already by unpredictability and ambiguity. Counselling must change to make it sensible and affirm the validity of people's experience. Counsellors must know how to indicate to others that it is experience, not events, that makes the difference in enlarging the scope of understanding both individual lives and society.

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)0.026
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.030
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0240.105
Scholarly communication0.0250.023
Open science0.0030.013
Research integrity0.0180.026
Insufficient payload (model declined to judge)0.0090.002

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 head0.057
GPT teacher head0.321
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations10
Published2001
Admission routes1
Has abstractyes

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Same venueAustralian Journal of Career DevelopmentSame topicCounseling, Therapy, and Family DynamicsFrench-language works237,207