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Record W3194303154 · doi:10.5430/ijhe.v11n1p160

On the Association between Academic Studies and Professional Training – The Case of School Counseling Do Academic Studies Train School Counselors for Their Work, as Perceived by Them Retrospectively?

2021· article· en· W3194303154 on OpenAlexvenueno aff
Einat Heled, Nitza Davidovitch

Bibliographic record

VenueInternational Journal of Higher Education · 2021
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)PsychologyMedical educationWork (physics)Training (meteorology)Counselor educationMedicineHigher education

Abstract

fetched live from OpenAlex

In the current study we sought to examine how school counselors in Israel, who work in profession for several years, evaluate the association between academic studies and the professional training they received during their Maters’s degree in school counseling. Fifteen school counselors were interviewed regarding their Academic courses, Practical training, enjoyment of one’s studies, what is missing in the training process and their experience of entering the role after the academic studies. Retrospectively, the research findings showed that the academic program was not compatible with practical training for the counselor’s actual work, as perceived by the school counselors. The results also showed that many changes must be made in Master’s degree programs to better train school counselors for their job. The findings of the current study reinforce the inconsistent and vague definition of the school counselor’s job and accentuate the many years of academic training that is not adapted to the school counselor’s role.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.233
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.112
GPT teacher head0.449
Teacher spread0.336 · 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.

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

Citations3
Published2021
Admission routes1
Has abstractyes

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