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Record W2120261948 · doi:10.5330/psc.n.2010-12.182

Listen to the Voices: School Counselors and Comprehensive School Counseling Programs

2009· article· en· W2120261948 on OpenAlexaff
Carol A. Dahir, Joy J. Burnham, Carolyn Stone

Bibliographic record

VenueProfessional School Counseling · 2009
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsNew York Institute of Technology
Fundersnot available
KeywordsPsychologyMedical educationPedagogyMedicine

Abstract

fetched live from OpenAlex

Presently, many state departments of education and school counselor associations have published second-generation documents aligned with the ASCA National Model® (American School Counselor Association, 2005). This research study analyzed some school counselors' readiness to deliver comprehensive programs by assessing their attitudes, beliefs, and priorities for key program elements affirmed in the ASCA National Model. The results identified gaps in the school counselors' ability to embrace and implement the new vision of comprehensive school counseling during the initial stages of implementation and thus informed professional development needs.

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)0.009
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.036
GPT teacher head0.352
Teacher spread0.316 · 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 designQualitative
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

Citations83
Published2009
Admission routes1
Has abstractyes

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