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Record W2173889515 · doi:10.1002/cjce.22399

How do you write and present research well? Q4 – Do not metastasize with metadiscourse

2015· article· en· W2173889515 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMachine Learning in Materials Science
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMetadiscourseBoosting (machine learning)Computer scienceSentenceConversationPsychologyLinguisticsCognitive psychologySocial psychologyArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Abstract In the classic writing style, writers recognize that readers are competent and will recognize the truth as you lead them through your work. Soggy prose seeks “to argue for the truth.” [1] Your text should read like a conversation rather than a lecture. Match each sentence with one of the cardinal sins of writing to the left. [2,3] (Multiple choices possible) 1 Hedging b) In general these results show that a system with zero‐cost identities does not require centralized allocation of identities to encourage cooperation. [4] 2 Signposting f) In this section we shall evaluate the rate of recombination for nonequilibrium conditions. [5] 3 Redundant c) Here we report our new results on the samarium‐arsenide. [6] 4 Self‐conscious, 6 Boosting e) Whether established pests are suitable for attempted eradication is extremely controversial . [7] 5 Narcissism d) More recently researchers have attempted to quantify the effects of anxiety on foreign language learning. [8] 6 Boosting a) These results are extremely significant statistically and compare favorably with validation studies. [9]

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.275
Teacher spread0.240 · 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