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Record W7010845414

Knowing your public(s) : The significance of audiences in public history

2020· article· en· W7010845414 on OpenAlexaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDiafiltrationDysgeusiaArticular cartilage damagePretext
DOInot available

Abstract

fetched live from OpenAlex

From April 17 to 20th, 2013, the National Council on Public History (NCPH) will return to Canada to hold its annual meeting with its joint host, the newly established International Federation for Public History. The NCPH meeting model is unlike most historical conferences in Canada, and in addition to the typical panel sessions, it includes hands-on skill-based workshops; working groups which begin discussions before the conference and often produce a best practices or policy paper; a THAT Camp (The Humanities and Technology Camp), a digital\n‘unconference’ workshop; a free public plenary; formal networking opportunities for graduate students and new professionals; two minute Lightning Talks which showcase digital projects; a poster session; Dine Arounds which pair facilitated discussion with dinner; and tours of the city and Ottawa museums. Together, the joint conference offers four packed days with over sixty sessions and over twenty tours, workshops, and special events.

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)0.009
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.046
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0250.016
Scholarly communication0.0240.018
Open science0.0010.015
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0390.003

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 head0.068
GPT teacher head0.225
Teacher spread0.157 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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Same venueÉrudit documents and data repository (Érudit Consortium, University of Montreal)Same topicOral History, Memory, Narrative AnalysisFrench-language works237,207