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Record W2096877152 · doi:10.18438/b8n88f

Choices in Chaos: Designing Research to Investigate Librarians’ Information Services Improvised During a Variety of Community-Wide Disasters and to Produce Evidence-Based Training Materials for Librarians

2007· article· en· W2096877152 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
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
FundersMcKnight FoundationInstitute of Museum and Library Services
KeywordsVariety (cybernetics)ImprovisationComputer scienceInformation systemPoint (geometry)World Wide WebPublic relationsKnowledge managementPolitical science

Abstract

fetched live from OpenAlex

Objective - How can we discover patterns of how librarians develop new information services needed when disaster strikes the community?
 
 While there are many guidelines and training materials for planning to protect staff, systems, collections and buildings (in order to return to normal services) in disasters, there are none for quickly improvising needed services. Evidence-based standards and education modules could be very useful to librarians in such crises. Published accounts of such services describe services improvised during a single disaster or during a small number of similar disasters and usually point to the heroic efforts of particular librarians in particular libraries. They tend to be anecdotal and idiosyncratic. The authors needed to design a project using valid research methods to gather consistently and to analyze rigorously narrative data from a wide variety of libraries that have provided improvised services during a wide variety of disasters.
 
 Information professionals everywhere strive to provide timely and relevant information in an appropriate format to meet the needs of users. Textbook studies tell us about the value of thoughtful data collection and advance planning before launching new information services for users of libraries and information centers. How can we find out what librarians have done when there is no time for such planning?
 
 Method - The authors surveyed a variety of accepted research methods for gathering and analyzing qualitative narrative data describing similar phenomena. They tested some methods in a pilot study of services provided by librarians in southern Louisiana after two hurricanes in 2005. They quickly realized that surveys of hundreds of libraries and interviews of a few librarians did not produce the kind or amount of data to answer the “what” and “how” questions for a variety of libraries in a variety of disasters. They discussed that study and its results with several senior researchers experienced with qualitative methods. (Reports on the pilot study have been published in peer-reviewed publications.) Based on what they had learned during the pilot study and in subsequent discussions, the researchers designed a much larger study to gather evidence of common practice patterns in diverse disasters. Needing to be open to discovery of what happens in different situations they devised a research method based on in-depth interviews, multiple case studies, and narrative data analysis to build grounded theory. The study will conclude with the development of best practices presented as case studies and evidence based training modules for LIS students and practicing librarians. (They submitted the research proposal to the Institute for Museum and Library Services National Leadership Grant program.)
 
 Results - The researchers found evidence of the efficacy of Multiple Case Study and Grounded Theory research methods for this kind of for this kind of research question. They developed a protocol to gather data from academic, public, school and special libraries that provided extraordinary services during days and weeks of community disasters caused by earthquakes, massive blackouts, tornadoes, wild fires, hurricanes, land slides, floods, chemical spills and other natural or accidental events. The IMLS agreed with their findings on how to study the question and funded the grant proposal. The researchers have begun the two year project and report briefly on its progress in this paper.
 
 Conclusion - Librarians need evidence-based case studies and educational material to learn how to identify needed information services during any kind of community-wide disaster and to respond to these needs creatively. Since this preparation is not currently included in LIS education, standards and guidelines or research literature, there is a need for reliable studies of these phenomena in a variety of libraries and a variety of disasters. The researchers studied and tested various quantitative, qualitative and mixed data gathering methods, tested them, and designed a method for gathering and analyzing the data necessary to support such guidelines and education. Based on their resulting research proposal to study about twenty such phenomena, the Institute for Museum and Library Services has awarded them a two-year National Leadership Grant to perform the study.

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)0.011
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.358
Open science0.0010.000
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 head0.098
GPT teacher head0.357
Teacher spread0.259 · 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