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Record W4390983275 · doi:10.51644/9781771124249-fm

Front Matter

2019· paratext· en· W4390983275 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldArts and Humanities
TopicAutobiographical and Biographical Writing
Canadian institutionsnot available
Fundersnot available
KeywordsFront (military)GeologyOceanography

Abstract

fetched live from OpenAlex

Life Writing series celebrates life writing as both genre and critical practice.As a home for innovative scholarship in theory and critical practice, the series embraces a range of theoretical and methodological approaches, from literary criticism and theory to autoethnography and beyond, and encourages intersectional approaches attentive to the complex interrelationships between gender, class, race, ethnicity, sexuality, ability, and more.In its commitment to life writing as genre, the series incorporates a range of life writing practices and welcomes creative scholarship and hybrid forms.The Life Writing series recognizes the diversity of languages, and the effects of such languages on life writing practices within the Canadian context, including the languages of migration and translation.As such, the series invites contributions from voices and communities who have been under-or misrepresented in scholarly work.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.086
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0100.003
Open science0.0020.004
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.9140.871

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 head0.019
GPT teacher head0.214
Teacher spread0.195 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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