Task-based information searching and retrieval
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
Information retrieval systems are purposeful devices developed to service multiple objectives from locating the current weather conditions to identifying critical evidence for use in complex decision making. Those systems evolved from extracting bibliographic data held in large libraries of references, to retrieving nuggets of information from full-text repositories. However, we tend to think of information retrieval systems simply as generic search systems that respond to a query with a set of results to meet some information need, rather than purposeful applications whose raison d'être is to deliver task-specific information that leads to problem resolution. The early discussions about information retrieval systems implicitly and erroneously equated the concept of task with a user's information need, problem, question or request (e.g. Saracevic et al., 1988; Saracevic and Kantor, 1988a, 1988b; Tague-Sutcliffe, 1992); the exact word used depended on the decade and origin of the work. The task that triggered the need was usually considered peripheral to the research.
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 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 | 0.000 | 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 | 0.000 |
| 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