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Record W6990065726

2015 CSUSB Campus Climate Survey: Phase 2 Report

2016· article· en· W6990065726 on OpenAlexaboutno aff

Bibliographic record

VenueCSUSB ScholarWorks (California State University, San Bernardino) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Military Integration
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Organisation climatePerceptionQuarter (Canadian coin)Work environmentIncivilitySurvey data collection
DOInot available

Abstract

fetched live from OpenAlex

This report is the second of two that address results of CSUSB's 2015 Campus Climate survey.This survey was distributed via email invitation to all employees at CSUSB in fall quarter 2015.The purpose of the survey was to measure the organizational climate of CSUSB.Within this paper, we describe employees' perceptions of the performance evaluation process; the potential for job growth and career advancement on the campus; workload; work stress; communication and application of policies and procedures; perceptions of diversity; psychological safety, respect, and trust; and incivility and bullying.Both numerical ratings and themes generated from comments to the open-ended questions, with representative statements by respondents, are presented.Background.At two fora in June 2015, sponsored by the Faculty Senate executive committee, over 200 faculty and staff gathered to express concerns about the campus climate.The faculty senate chair requested that the chancellor sponsor a survey to assess the campus' climate.Chancellor White declined to sponsor the survey, but encouraged the campus community to work together to address the issues.Consequently, an ad hoc

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.321
Teacher spread0.298 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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