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Challenges With Sensitivity and Boundaries in an Imperfect, Ever-Changing World

2023· book-chapter· en· W4390047081 on OpenAlexaff
Rosina E. Mete, Alyssa Weiss

Bibliographic record

VenueAdvances in higher education and professional development book series · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsYorkville University
Fundersnot available
KeywordsImperfectCoping (psychology)Context (archaeology)Engineering ethicsPsychologyData sciencePolitical scienceComputer scienceEngineeringGeographyPsychotherapist

Abstract

fetched live from OpenAlex

This chapter provides an overview of the online educational environment and its context and outlines two realistic examples with suggested responses for counselor educators. The reflect, prepare, and respond approach was explained in detail for both examples. The historical context of societal changes was briefly explained within the chapter to further highlight how quickly the world may change as opposed to written resources for students. Schlossberg's research on coping with transitions enhances the chapter to provide counselor educators with an evidence-based framework to better address the challenges and inquiries that arise within an imperfect, ever-changing world in online education.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.942
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.355
Teacher spread0.305 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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