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Record W1595213066

Information Need: A Theory Connecting Information Search to Knowledge Formation

2012· article· en· W1595213066 on OpenAlexvenueno aff
Margaret Sampson

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2012
Typearticle
Languageen
FieldComputer Science
TopicInformation Retrieval and Search Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsInformation scienceProcess (computing)PsychologyInformation behaviorSociologyComputer scienceEpistemologyCognitive scienceLibrary science
DOInot available

Abstract

fetched live from OpenAlex

Cole, Charles. Information Need: A Theory Connecting Information Search to Knowledge Formation. Medford, New Jersey: Published on behalf of the American Society for Information Science and Technology by Information Today, Inc, 2012. Print: 240 pp. 59.50 USD. ISBN-13 978-1-57387-429-8.As someone who had been taught the art of the reference interview by Cole himself, I assumed that this book would be targeted at reference librarians; however, Cole makes it clear that his target audience is system designers. Still, the book is thought-provoking and its findings will influence my work as a librarian who supports health science researchers.Cole's Information Need addresses the underlying mental processes involved as people move from the first unspoken disquiet of an emerging information need through to the early steps of exploration and, ultimately, to the resolution of the need through knowledge formation. In the course of his study, Cole builds on the rich legacy of theorists in the fields of information science, cognitive psychology and evolutionary psychology.His main thesis is that the information need remains constant throughout the search process. According to Cole, the underlying need is a fixed psychological entity, although the user's sense of the need and the behaviours that are the external manifestation of that need will change over time. Indeed, Cole argues that information need is one of the things that make us truly human. Drawing from evolutionary psychology (which focuses on questions such as does a person recognize a gap or change in the social or physical environment which sets offthe process leading to adaptation?), Cole argues that humans distinguished themselves from Neanderthals in part by developing the neurological substrates for increasingly abstract thinking, including information need, and this conferred an evolutionary advantage.This book provides an accessible refresher on some of the major theoretical thinkers in the field: Shannon's theory of communication of information (c. 1949), Taylor's question negotiation (c. 1968), Bates' berry picking (c. 1989), Kulthau's six stages of the information search process (c. 1991) and Dervin's sense making (c. 1992). New to me, Cole also covered Minksy's frame theory (c. 1975) and Donald's evolutionary psychology on the four cultures of human thinking and reasoning (c. 1991). For the most part, Cole's presentation of theoretical material is quite readable, although I did resort to Minsky's original work on frame theory and found it easier to understand than Cole's description of it.As far as the framework of the book is concerned, Part I consists of seven chapters, the first six of which lay the groundwork for Chapter Seven in which the theory of information need is presented. Part II addresses how the information need works at various stages of inquiry. By way of illustration, Cole very successfully uses examples drawn from the experiences of graduate students as they come to terms with their thesis topics. Part III addresses the application of the theory of information need to information system design. And, finally, Part IV is a particularly strong final chapter that pulls together the many elements explored throughout the book into a succinct, yet focused and fully instantiated understanding of information need, to use Cole's language. …

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0030.234
Open science0.0010.000
Research integrity0.0000.001
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 head0.071
GPT teacher head0.350
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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