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Record W2727689093 · doi:10.5539/jel.v6n4p175

Counselor Perceptions: Let Us Do Our Job!

2017· article· en· W2727689093 on OpenAlexvenueno aff
Stephen Benigno

Bibliographic record

VenueJournal of Education and Learning · 2017
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsRealmPsychologyPerceptionJob satisfactionPedagogyMedical educationSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Elementary and Middle school administrators continually struggle with developing instructional programs that will address the academic and human developmental levels of the students in their care. Addressing the human development and the academic issues related to the elementary and middle school student is only a small percentage of the attention required for that student. Many students at the elementary and middle school levels encounter issues related to social and emotional development that are often overwhelming and many times detrimental to the academic development of those students. School administrators address those issues by utilizing the existing infrastructure of the schools. One of the key components of the school infrastructure is the school counselor. In some situations, school counselors are being required to perform duties outside the realm of their perceived responsibilities. This study was conducted to ascertain school counselor perceptions with respect to job performance, expectations, satisfaction and responsibility. The results of the study indicated that the counselors involved in the study believed that they are being required to perform duties outside the realm of their responsibilities and that the performance of these duties has an impact on their effectiveness as school counselors.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.411
Teacher spread0.372 · 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.

Study designOther design
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

Citations16
Published2017
Admission routes1
Has abstractyes

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