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Record W1950193041

Annual Fund Programs for Academic Libraries

2000· article· en· W1950193041 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIllinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · 2000
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsAcademic librarySubject (documents)BusinessPilot programFund raisingAnnual reportTrust fundLibrary scienceComputer scienceFinancePolitical scienceHigher educationMedical educationMedicine
DOInot available

Abstract

fetched live from OpenAlex

ANNUAL FUND PROGRAMS ARE THE BUILDING BLOCKS for every other major funding program of the academic library.Keys to library annual fund success include identifying the library's constituents, developing a compelling case for support, and determining how the solicitation message can be delivered most effectively subject to existing internal and external barriers.Examples of effective strategies used to overcome these barriers are provided from U.S. and Canadian academic libraries.With the annual fund program firmly established, the academic library is then well positioned to seek the major funds required for growth and innovation. WHYANNUAL FUNDS?Annual fund programs are frequently called the foundation or the base of the giving pyramid.It can be tempting to focus solely on major gift programs at the middle of the pyramid or to singularly contemplate the vast intergenerational transfer of wealth awaiting those who focus on planned giving at the top of the pyramid.However, "Pyramids," as Greenfield (1999) observed, "are built from the bottom up" (p.98).So essential is annual giving to the total well being of the development program that Rosso (1991) has called the annual fund "the cornerstone and the key to success for all aspects of the resources development program" (P.51).

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.008
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.227
Teacher spread0.195 · 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