INLS 180-01 Day 10 Notes
Oct. 31, 2001
Important 2 week period coming! Few readings—focus on projects!
Reminder: meet in Lab on Nov 14. You will receive email instructions beforehand.
1. One-Minute papers
How to think about the value of information
Need for better reference services
Electronic tools exacerbate lower quality service
Structure influences/communicates meaning
Importance of interpersonal impressions in reference services
Human time is finite resource but is not the time spent in interaction more satisfying?
Are we equipped to handle the growth of online inquiry if our in-person service is so poor?
Why care so much about distinguishing (labeling) primary vs secondary sources? Note Cochrane Reviews
Is there a correlation between good service and good products?
How to apply our structure analysis to better IA?
How to improve reference services? (how much is due to the patron?)
Why not intermediary readings closer to info seeking readings?
Paper discussions
Moorehead et al: Alex Vidas
Sonnenwald: Marchionini
Pool: Steve Segedy
Harnad: Mark Sanders
Smith: Juliet Rumble
2. Informetrics and Bibliometrics
queueing theory, circulation models, operations research
citation analysis, from individuals to groups to organizations; from doc to doc to doc to field to field to field
Problems of citation analysis
Multiple authors
Self-citations
Homographs (same name/different authors)
Synonyms (name variants)
Types of sources (books vs journals, some journals limit citations)
Implicit citations (discussed or implied but not cited)
Time fluctuations (year to year)
Field variations (e.g., humanities vs sciences)
Errors
Applications
Various literature studies
User studies
Historical studies
Communication patterns (e.g., how ideas spread)
IR (e.g., google, Clever today)
Collection development
Recommendation systems
Logical Assumptions (Griffith, Drott & Small)
1. X cited by Y is more likely to be related to Y than arbitrary A not cited
1. X cited by Y and A not cited by Y=>more likely that X was used in preparation of Y
2. Y and Z cite X=>more likely Y and Z are related than A and B citing no docs in common
Y cites X and Z=>X and Z more likely related to each other than to A not cited by Y (not co-cited with X and Y)
4. Readings for next meeting:
Dibbell, J. (1996). A rape in cyberspace: How an evil clown, a Haitian trikster spirit, two wizards, and a cast of dozens turned a database into a society. In Mark Stefik (Ed.) Internet dreams: Archetypes,
myths, and metaphors. Cambridge, MIT Press.
Optional: Constant, D., Kiesler, S., & Sproull, L. (1994). What's mine is ours, or is it? A study of attitudes about information sharing.
5. One-minute paper
concept
What was the big point you learned in class today?
What is the main, unanswered question you leave class with today?