<scp>The Relationship between Behavioral Inattention, Meta‐Attention, and Graduate Students' Online Information Seeking</scp>
Bibliographic record
Abstract
Success in postsecondary education requires proficiency with academic online information seeking. Navigating the internet to find information is a complicated task that is vulnerable to lapses in attention. This study examined the relationships among Canadian graduate students' self‐reported behavioral inattention symptoms, awareness and regulation of attentional focus (meta‐attention), and online academic information seeking abilities. One‐hundred and thirteen (99 female) graduate students (83 master's level, 27 doctoral level) completed an online self‐report questionnaire examining domain‐ and strategic‐experience, behavioral inattention symptoms, meta‐attention, and online information seeking ability. Results indicated that self‐reported inattention symptoms, both components of meta‐attention and domain experience each significantly predicted unique variance in online information seeking ability. Implications for research and intervention are discussed.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".