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Record W2248599320 · doi:10.1558/equinox.25676

Exceptions to the SSP: Evidence from Ottawa for a Metatheoretical Approach

2016· article· en· W2248599320 on OpenAlexaboutno aff
Marie Klopfenstein

Bibliographic record

VenueEquinox eBooks Publishing · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsSonority hierarchySyllableLinguisticsVowelPhonologyPrefixConsonant clusterConsonantCodaHistorySyllabificationSpeech recognitionComputer sciencePhysicsAcousticsPhilosophy

Abstract

fetched live from OpenAlex

Ottawa is an Algonquian language spoken by an estimated 8,000 people from southern Ontario to northern Michigan. It is one of several dialects of Ojibwe, including Severn Ojibwe, Algonquin and Northwestern Ojibwe. This chapter concerns the Ottawa dialect specifically. It is known by other names, including Odawa or Nishbaabemwin by its speakers, which means ‘Indian language.’ Ottawa’s phonology includes seventeen consonants, seven oral vowels, and four long nasal vowels. It also features vowel syncope and when combined with Ottawa’s system of inflectional morphology using prefixes and suffixes, allows for a variety of consonant clusters both syllable-initially and finally. In Ottawa, metrically weak vowels tend to be deleted. Standard feet consist of two syllables, one weak and one strong, respectively. The Sonority Sequencing Principle (SSP) proposes that the syllable nucleus is the peak of sonority within the syllable, with progressively decreasing sonority values in the onset and coda, if present. Because of Ottawa’s vowel syncope and inflectional morphology, there are many examples of syllables that violate the latter aspect of the SSP. While it is well-known that languages like English and Russian also violate the SSP in some of their possible syllable structures, this chapter will examine Ottawa, a less commonly studied language, for any support it can lend to the various approaches that have been proposed to account for exceptions to the SSP.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.093
GPT teacher head0.345
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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