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Record W6980337968

Budget (A3-A) contents

2015· article· en· W6980337968 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Well (University of Minnesota Morris) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaTSG101DiafiltrationArticular cartilage damageDemotionLiquation
DOInot available

Abstract

fetched live from OpenAlex

Although this record sub-series is entitled "Assessment of Student Learning," it contains other materials which document other aspects of the Morris student experience. Heavily represented here are reports and publications which offer descriptive statistics regarding student learning, the social and educational background of incoming students, student satisfaction, alumni career paths, to name a few. Of special interest is a 1988 faculty self-assessment survey in which they assessed the quality of their respective divisions. Other files contain correspondence and reports regarding transfer credit issues and policy. An interesting, although obviously misfiled folder, documents a complaint authored by Stephen Granger and sent to the U.S Customs Service after a bus-load of UMM students was treated rudely by a customs agent at the Alaska-Canada border. Also conspicuous in the sub-series are the many publications and reports having to do with student retention rates. Some files are more specific in addressing retention rates among minority students. The 1986 ACT Student Survey presents a compilation of student opinions about courses, registration, and the campus in general.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.445
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.043
GPT teacher head0.295
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2015
Admission routes1
Has abstractyes

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