Language in Action: Illocutionary Acts in Anne with an E
Bibliographic record
Abstract
Illocutionary acts are speech acts in which the speaker encodes an intended meaning in an utterance, and the listener decodes this meaning from the utterance. Illocutionary acts are not based on form (grammar) but rather on meaning. This study examines illocutionary acts used by the characters in the first season of the Canadian period drama television series Anne with an E, presented by Netflix. The subtitles presented by the series were analyzed using a Searle approach. Contextual cues that shed light on the nuances of the utterances and expressions of the characters were noted. The results of the study indicated the presence of all five primary classifications of illocutionary acts within the series. These illocutionary acts were ranked from the most to the least prevalent, beginning with assertives, accounting for a substantial 40.72% of the total dataset, followed by directives, constituting 30.13%. Commissives were observed to be 7.26% of the instances, while expressives made up 21.14% of the dataset. Finally, declaratives were the least frequently utilized, representing a mere 0.86% of the total data. Thus, language serves not only to convey straightforward sentences but is also used to express both actions and interactions.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".