Online Information Seeking: Understanding Individual Differences and Search Contexts
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.
Bibliographic record
Abstract
This paper outlines a broad research agenda aimed at examining the manner in which individual differences in information seeking behavior interact with the search task to affect search outcomes. As part of this agenda, we describe specific experimentation that will assess the impact of both Need for Cognition (the tendency to elaborate upon, structure and evaluate information) and Self- and Other-Orientation (gender-related traits that tap independent versus interdependent characteristics) on the search outcomes that arise in attribute- versus alternative-based decision making. We hypothesize that among individuals identified by these instruments as having a high propensity for effortful search, we will observe more detailed search strategies but also will see a greater tendency for information overload. Conversely, those who are more prone to superficial search may appear to be more efficient, but may be sacrificing accuracy for speed.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it