Considerations for a discourse of collaboration in counseling
Bibliographic record
Abstract
In this paper we consider a discourse of collaborative counseling practice drawing from developments in discourse and social constructionist theory. Collaboration, as we shall refer to it, speaks to negotiating and hopefully sharing initiatives, knowledge and judgment in counselor–client dialogues. However, such negotiations and sharing occur within perceived constraints associated with institutional and professional accountabilities, and are related to unequal powers seen as exercisable by clients and counselors. With these possibilities and constraints in mind, we articulate a discourse of collaborative practice based on counselors and clients sharing content and process expertise in areas often considered the sole prerogative of the counselor.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.056 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.049 | 0.099 |
| Scholarly communication | 0.038 | 0.032 |
| Open science | 0.005 | 0.028 |
| Research integrity | 0.028 | 0.016 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".