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Record W1500941621 · doi:10.18438/b8d61x

Acquisition and Cataloguing Processes: Changes as a Result of Customer Value Discovery Research

2007· article· en· W1500941621 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.

venuePublished in a venue whose home country is Canada.
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

VenueEvidence Based Library and Information Practice · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsCustomer satisfactionCollection developmentValue (mathematics)Service (business)BusinessData collectionCustomer serviceVoice of the customerKnowledge managementMarketingCustomer retentionComputer scienceService qualityWorld Wide WebSociology

Abstract

fetched live from OpenAlex

Objective: This study seeks to highlight the profound effect of Customer Value Discovery research on the internal business processes of two university libraries in the areas of cataloguing and acquisitions. 
 
 Methods: In this project, “Customer Discovery Workshops” with academic staff, students, and university stakeholders provided library managers and staff with information on what services and resources were of value to customers. The workshops also aimed to discover what features of existing library services and resources irritated the students, staff, and faculty. A student satisfaction survey assessed longer-term impact of library changes to students in one university.
 
 Results: The findings resulted in significant changes to collection development, acquisitions, and cataloguing processes. A number of value added services were introduced for the customer. The project also resulted in greater speed and efficiency in dealing with collection development, acquisitions, and cataloguing by the introduction of more technology-enhanced services. Overall customer satisfaction was improved during the project period. 
 
 Conclusions: The changes to services introduced as a result of customer feedback also improved relationships between librarians and their university community, through the introduction of a more proactive and supportive service.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.258
Open science0.0000.000
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 head0.294
Teacher spread0.261 · 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