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Record W4244948339 · doi:10.1002/cvj.12021

President’s Welcome

2016· article· en· W4244948339 on OpenAlexaboutno aff
Elizabeth R. O’Brien

Bibliographic record

VenueCounseling and Values · 2016
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Energy (signal processing)Public relationsPolitical sciencePsychologySociologyBusiness

Abstract

fetched live from OpenAlex

As the 2015–2016 president of the Association for Spiritual, Ethical, and Religious Values in Counseling (ASERVIC), I would like to welcome you to our journal and our organization. This spring edition of CVJ causes me to reflect on all of the new ASERVIC initiatives and events that we have worked hard to bring to you over the past few months, such as our partnerships with other American Counseling Association interest-based divisions to deliver webinars. More important, my role as president has put me in touch with such great energy from students, counselors, counselor educators, and other helpers who are deeply committed to our organization and have dedicated some of their free time to help us improve our processes and bring new benefits to our members. Experiencing this new energy has offered me a renewal in my journey that has been unexpected and very welcome. As you read this, many of us have recently traveled home from the 2016 American Counseling Association conference held in Montreal, Quebec, Canada. We made a concerted effort this year to hold ASERVIC-sponsored events that featured some of the presentations from our 2015 ASERVIC conference in New York last summer. We officially unveiled our new ASERVIC logo and celebrated all of the individuals who submitted entries for consideration. There were also changes in the content of ASERVIC meetings—such as offering an ASERVIC Emerging Leaders session and convening an ASERVIC Advisory Board. Perhaps the biggest highlight was the ASERVIC luncheon, at which we had the opportunity to join together with friends old and new to enjoy the community that we have created. In closing, I want to say thank you to all of you who have shared your ideas and your time in contributing to the mission of ASERVIC. In the past few months, I believe that we have been mindful of traditions while reaching forward into the future. I hope that this energy continues to move us in a positive direction. Be well, Elizabeth

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.038
GPT teacher head0.336
Teacher spread0.297 · 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
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

Citations0
Published2016
Admission routes1
Has abstractyes

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