This profile is a persistent identity and corpus record. Bibliographic facts, author-supplied information, editorial verification, computational measurements, model inferences, and external indexes are identified separately throughout the page.
Profile status
Unclaimed
3registered publications
2,633analyzed words
2014–2014represented publication period
1.0effective primary themes
4documented inbound sources/citations
1member publications represented
Interactive corpus map
Patterns in registered work
Explore how recurring themes and framings connect across this author’s registered publications. Each topic opens its Collective archive.
ThemeAcademic framingPolicy framingRecurring co-occurrenceConnection across framing typesBroader and narrower term
Drag a topic to rearrange the map. Drag empty space to move the constellation, use the mouse wheel or controls to zoom, and hover or focus a topic to emphasize its direct connections. Line strength reflects recurrence in this author’s registered corpus; it does not imply agreement or causation.
This analysis covers 3 registered publications dated 2014–2014. Full source text was available for 3 records, partial text for 0, and metadata only for 0.
The registered corpus is the unit of analysis. These statistics describe available texts and metadata; they are not claims about the author’s personality, intelligence, intentions, identity, or private beliefs.
3publications analyzed
700median words per publication
100.0%full-text coverage
0.0%archival-copy coverage
0co-authored publications
0possible duplicate groups
Registered output by year
PublicationsDocumented reception
34
2014
No strong linear increase or decrease is visible in annual registered publication output. Linear model R²: 0.00.
Publication-length distribution
1469–593
1593–718
0718–842
0842–967
0967–1,091
01,091–1,215
01,215–1,340
11,340–1,464
Mean 878 words · median 700 · standard deviation 521.
Potential change points compare rolling three-year thematic distributions with Jensen-Shannon divergence. They are model-derived boundaries, not authoritative divisions in the author’s intellectual biography.
Theme ecology
Breadth, concentration, and communities
0.0%normalized thematic breadth
1.0effective primary themes
1.000theme concentration (HHI)
100%mean primary-theme confidence
Primary-theme assignments are strongly concentrated. The most recurrent primary themes are Transgender identity and history.
Proximity reflects corpus-relative lexical similarity. Larger nodes have more documented inbound evidence; node color reflects the primary theme.
Publication; color identifies primary themeStronger lexical similarityLarger node: more documented reception
The semantic map uses TF-IDF vectors and cosine similarity within this registered corpus. Position is produced by a force layout from the strongest similarity edges; proximity is relative, not an absolute measure of meaning.
Axes are normalized to display scales stated in the methods note; the chart is comparative within the profile, not a grading instrument.
Sentence-length distribution
453–17
5017–32
1832–46
346–60
160–74
074–89
089–103
1103–117
0.4questions per 1,000 words
11.1quoted passages per 1,000 words
1.6outbound links per 1,000 words
Distinctive terms relative to the Collective baseline
according10.9
transwoman9.8
began9.0
homeless8.7
york8.2
mexico8.1
attempted8.0
bathroom7.9
transgender7.5
center7.3
resources6.8
deputy6.7
irish6.6
tone6.6
options6.6
struggles6.6
name6.6
patrons6.4
View rates and comparison values
Term
Author rate / 1,000
Collective rate / 1,000
Log-odds z
according
11.92
0.57
10.89
transwoman
7.95
0.22
9.83
began
7.95
0.38
8.98
homeless
5.56
0.08
8.71
york
7.15
0.40
8.20
mexico
5.56
0.03
8.11
attempted
5.56
0.20
8.04
bathroom
8.74
0.76
7.91
transgender
27.03
7.56
7.53
center
6.36
0.44
7.35
resources
3.97
0.15
6.81
deputy
3.18
0.04
6.73
irish
3.18
0.03
6.65
tone
3.18
0.03
6.65
options
3.18
0.07
6.61
struggles
3.18
0.07
6.61
name
7.15
0.81
6.56
patrons
3.18
0.02
6.43
ciswoman
3.18
0.02
6.43
friend
4.77
0.35
6.34
friends
6.36
0.68
6.34
referring
3.97
0.22
6.28
contact
3.97
0.25
6.10
phone
3.18
0.13
6.07
Lexical statistics are descriptive properties of the available texts. They do not diagnose writing quality, intelligence, personality, or intent. Distinctive terms are compared with a sampled Collective baseline using smoothed log-odds.
Source families are inferred from link domains and URL patterns. They describe the ecology of linked evidence and references, not the reliability or ideological position of an individual source.
Collaboration and relationships
Co-authorship and corpus similarity
Author relationship network
Co-authorship and corpus-based similarity are displayed as different relationship types.
Co-authorship, corpus similarity, citation relationships, and publication overlap are shown as distinct relationship types. A corpus relationship does not imply a personal, institutional, or political association.
Documented circulation and reception
How evidence of reuse is distributed across the corpus
4documented source records
4distinct referring domains
0scholarly citation records or provider total
0books or edited-volume references
100.0%publications with evidence
0.167reception concentration (Gini)
Evidence by channel
Source-publication references1
Public-web references0
Scholarly citing works0
Books and edited volumes0
Links inside the Collective3
Media and educational references0
Documented references over time
42014
Reception concentration
The most-referenced 10% of publications account for approximately 50.0% of documented reception.
Reception measures documented circulation and reuse across the evidence sources available to the Collective. They do not establish quality, correctness, cultural worth, or the author’s social standing. Provider totals can overlap.
Comparative corpus context
Contrasts with other registered Collective publications
The comparison baseline contains 1,200 other registered publications. Differences are descriptive contrasts, not author rankings.
Comparisons use the rest of the registered Collective as the default baseline. Percentage-point differences and standardized effects describe corpus contrasts; they are not rankings or evaluations of authors.
Corpus coverage
Places, institutions, periods, and populations represented
Institutions named
New Mexico Motor Vehicles Department1
Mt. Sinai Hospital1
Historical periods
2010s5
2000s3
Populations discussed
women3
transgender people1
students and educators1
families and parents1
Coverage measures recurring places, institutions, historical periods, scopes, and population terms in the registered texts. It describes what is present in the corpus and does not judge omissions or infer the author’s identity or attitudes.
Guided reading paths
Different ways into the registered corpus
Representative workClosest to the semantic center of recurring work in the registered corpus.
These categories describe structural positions in the registered corpus. They do not establish scholarly quality, correctness, or cultural value.
Trust, correction, and reuse
Provenance, profile control, and research data
How to read this profile
Source-supplied
Provided by a member publication.
Author-verified
Confirmed by the profile owner.
Editor-verified
Reviewed by a Collective editor.
Computationally measured
Calculated directly from registered text or metadata.
Model-inferred
Produced by a versioned analytical model.
External index
Obtained from an external bibliographic or web index.
Profile actions
Authors and other knowledgeable parties may request identity corrections, article-association review, classification review, or visibility changes. Requests create an editorial revision record rather than silently replacing prior data.
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