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Record W2901833575 · doi:10.1176/appi.ps.201800355

On the Very, Very Frontlines of Mental Health Care

2018· article· en· W2901833575 on OpenAlexaff
Victor Feder, Katherine Fibiger, Stephanie Knaak

Bibliographic record

VenuePsychiatric Services · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychiatric care and mental health services
Canadian institutionsMental Health Commission of Canada
Fundersnot available
KeywordsMental healthNursingPsychologyHealth careMental health careMental healthcareMedicineMedical educationPsychiatryPolitical science

Abstract

fetched live from OpenAlex

The role and training needs of client-facing administrative staff in mental health settings is an underidentified topic in the literature. Although interactions between the medical office staff and clients are not typically defined as therapeutic, patients nevertheless often view client-facing staff as an extension of their physician or care team. These interactions can be both meaningful and important to the overall care experience and should be conceptualized and understood as a legitimate part of the larger healing environment. To this end, the authors propose that a more fulsome understanding is needed of the experiences and impact of administrative staff's role in the larger clinical encounter from the perspectives of both clients and staff. The authors also identify a number of unmet training and support needs for client-facing administrative staff.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.331
Teacher spread0.319 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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