Unconscious processes in a career counselling case: an action-theoretical perspective
Bibliographic record
Abstract
ABSTRACT Although clients and counsellors can often account for their actions in counselling, sometimes the link between the action taken and the larger goal is not apparent. This article accounts for counterproductive, paradoxical actions within the counselling process by addressing unconscious processes as links between immediate actions and larger projects. A career counselling case is presented, the data of which were gathered and analysed through the action-project method. This method includes a video-supported recall procedure, called the self-confrontation interview, as a research and practice means of accessing unconscious aspects of the inter-subjective action of counselling. The complexity of career counselling is illustrated as multiple goals and projects, both conscious and unconscious, are manifest in a single session. Implications for practice include the primacy of the relationship project in career counselling as the relationship project not only contains but reflects other projects such as identity and vocational projects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".