Peter D. MacIntyre’s 35-Year Research Contribution to Psychology, Language Education and Communication: A Systematic Review
Bibliographic record
Abstract
Peter MacIntyre’s 35-years of research in SLA, psychology of language learning, and communication was systematically reviewed in six sections driven by subjective guidelines developed for the purposes of the present survey. To operationalize the objectives of the sections, an impressionistic methodology was created for analysis, according to which exclusion and inclusion rules were coined. Then, a fairly representative sample of six main thematic areas were extracted; the main themes were SLA, willingness to communicate, psychology of language learning, motivation theory, the idiodynamic method, and other relevant topics, all of which were portrayed in the light of the dominance and frequency of investigation. Next, we tabulated from our online search, a total number of his overall achievements which stood approximately at 250 research works. After that, we systematically reviewed his research works including articles, book chapters and books. Finally, Peter MacIntyre provided a discussion and his personal reflections on the systematic review.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.199 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.018 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".