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Record W2805322693 · doi:10.5860/llm.v32i3.7267

What is Helpful (and Not) in the Strategic Planning Process? An Exploratory Survey and Literature Review

2018· article· en· W2805322693 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLibrary Leadership & Management · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsCarleton University
Fundersnot available
KeywordsPlan (archaeology)Strategic planningProcess (computing)PrioritizationExploratory researchProcess managementInstitutionBusinessKnowledge managementPublic relationsPolitical scienceSociologyComputer scienceMarketingGeography

Abstract

fetched live from OpenAlex

Strategic planning is a necessary undertaking for many university libraries. Through a literature review and an open-ended, exploratory survey to university libraries in Australia, Canada, New Zealand, and United Kingdom, the researcher was able to get a sense of nuance and importance of some of the parts of the process. Themes are organized into who worked on the process, the timeframe of the plan and process, prioritization and focus, environmental scanning, university plan alignment, and assembling the plan. Understanding what worked (and what did not) can help others who are tasked with taking on lead roles in the strategic planning process, and can enable libraries to create a strategic plan that works best for their staff, users, and institution.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.046
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 head0.145
GPT teacher head0.341
Teacher spread0.196 · 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