Connecting with Information Sources: How Accounts of Information Seeking Take Discursive Action
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
Taking a discursive approach to information seeking research can allow researchers to move away from considering information seekers’ accounts as transparent and unproblematic representations their information behaviour or underlying cognitive and affective processes. This paper uses a constructivist discourse analytic approach to study the discursive functions performed by accounts of information seeking in a particular context – the ways that individuals use information-seeking stories to “position” themselves discursively. This paper analyses four modes of information practice (Active seeking, Active scanning, Everyday monitoring, Information seeking by proxy) present in participants’ accounts of connecting with information sources. Although the four modes represent varying levels of active engagement in information seeking, accounts of the four modes fulfilled the same discursive function of demonstrating the individual to be an autonomous actor, someone who is active, connected, attentive to the environment, alert to unexpected possibilities, and receptive to appropriate forms of information. Working from a constructivist discourse analytic approach allows the researcher to attend both to the characteristics of the information-seeking context (in this case, pregnancy) and to the researcher-participant interaction and the functions that accounts of information seeking perform within it. It is then possible to study the ways that accounts of information seeking may themselves take discursive action.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.033 |
| Open science | 0.001 | 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