Reconstruction of the history of the photoelectric effect and its implications for general physics textbooks
Bibliographic record
Abstract
Abstract The photoelectric effect is an important part of general physics textbooks. To study the presentation of this phenomenon, we have reconstructed six essential, history and philosophy of science (HPS)‐related aspects of the events that culminated in Einstein proposing his hypothesis of lightquanta and the ensuing controversy within the scientific community. These aspects are (1) Lenard's trigger hypothesis to explain the photoelectric effect, (2) Einstein's quantum hypothesis to explain the photoelectric effect, (3) lack of acceptance of Einstein's quantum hypothesis in the scientific community, (4) Millikan's experimental determination of the Einstein photoelectric equation and Planck's constant, h, (5) Millikan's presuppositions about the nature of light, and (6) the historical presentation and its interpretation within a history and philosophy of science perspective. Using these aspects as criteria, we analyzed 103 university general physics textbooks. Results obtained reveal that these historical elements are largely ignored or distorted in the textbooks, with only three of the texts obtaining a score of satisfactory and none a score of excellent. It is concluded that inclusion of HPS‐related aspects in general physics textbooks can facilitate a better understanding of the dynamics associated with the initial controversy and final acceptance of Einstein's explanation of the photoelectric effect by the scientific community. © 2010 Wiley Periodicals, Inc. Sci Ed 94:903–931, 2010
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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 | 0.003 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.012 | 0.020 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".