An investigation of the role of individual words in the comprehension of connected discourse
Bibliographic record
Abstract
Two experiments exploring the role o individual words in reading comprehension are reported.In the first experiment one group of subjects processed text for comprehension and another attempted retention of text words.Results showed that higher comprehension level can be accompanied by lesser knowledge of text words, and increased text word familiarity by decreased comprehension of the material.The second experiment presented subjects with a series of texts in which nouns representing the topic or ''Actor" were deleted.Its results showed that subjects can successfully fill-in such words and that the group showing superior performance in this task generated a significantly higher level of text comprehension than a comparable low performance group.No differences between the high and low groups in terms of retention of random text words were found.Experimental results are discussed in relation to reading as a whole, and it is concluded that word retention and text comprehension are different processes, and that individual word quantification data may not be particularly relevant to comprehension analysis.Suggestions for further research are presented.Ill
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".