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Record W7023426617

Office of University Development (University of Maine) Records, 1923-2015

2017· article· en· W7023426617 on OpenAlexaff

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsGeneral partnershipWork (physics)Fund raisingHigher educationRecords management
DOInot available

Abstract

fetched live from OpenAlex

The University of Maine first established an active development fund in 1959. Its efforts were directed by the University of Maine Development Council (which later became the President's Development Council). Funds raised by the Development Office were used for a range of activities including: library facilities, student financial aid, scholarships, graduate fellowships, chair and professorships, construction projects, and teaching equipment. Effective July 1, 2016, the University of Maine Development Office closed with funding raising operations unified with a partnership with the University of Maine Foundation. The records mainly contain textual information on a range of subjects compiled by the Office of University Development, including promotional material for various funding raising campaigns, events, and projects and publications regarding the work of other University of Maine departments which development funds helped support. The records also include lists of donors to the University of Maine and details of their donations and also files on potential donors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.019
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0390.017

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 head0.029
GPT teacher head0.242
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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